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Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization
| 11 |
eccv
| 5 | 1 |
2023-06-17 00:57:45.245000
|
https://github.com/stefanleong/s2crnet
| 26 |
Spatial-separated curve rendering network for efficient and high-resolution image harmonization
|
https://scholar.google.com/scholar?cluster=17690796992400113153&hl=en&as_sdt=0,5
| 6 | 2,022 |
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
| 8 |
eccv
| 4 | 1 |
2023-06-17 00:57:45.445000
|
https://github.com/cheeun/cadyq
| 42 |
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
|
https://scholar.google.com/scholar?cluster=17622423999253475066&hl=en&as_sdt=0,5
| 1 | 2,022 |
Deep Semantic Statistics Matching (D2SM) Denoising Network
| 3 |
eccv
| 1 | 2 |
2023-06-17 00:57:45.647000
|
https://github.com/MKFMIKU/D2SM
| 23 |
Deep Semantic Statistics Matching (D2SM) Denoising Network
|
https://scholar.google.com/scholar?cluster=10217193837802599419&hl=en&as_sdt=0,41
| 1 | 2,022 |
Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging
| 1 |
eccv
| 3 | 1 |
2023-06-17 00:57:45.847000
|
https://github.com/viengiaan/EDWL
| 6 |
Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging
|
https://scholar.google.com/scholar?cluster=5411080517450189974&hl=en&as_sdt=0,10
| 2 | 2,022 |
Realistic Blur Synthesis for Learning Image Deblurring
| 8 |
eccv
| 6 | 1 |
2023-06-17 00:57:46.048000
|
https://github.com/rimchang/Rsblur
| 43 |
Realistic blur synthesis for learning image deblurring
|
https://scholar.google.com/scholar?cluster=12876470121987800419&hl=en&as_sdt=0,6
| 1 | 2,022 |
Benchmarking Omni-Vision Representation through the Lens of Visual Realms
| 4 |
eccv
| 7 | 1 |
2023-06-17 00:57:46.250000
|
https://github.com/ZhangYuanhan-AI/OmniBenchmark
| 104 |
Benchmarking omni-vision representation through the lens of visual realms
|
https://scholar.google.com/scholar?cluster=7208385789322575994&hl=en&as_sdt=0,38
| 6 | 2,022 |
BEAT: A Large-Scale Semantic and Emotional Multi-modal Dataset for Conversational Gestures Synthesis
| 12 |
eccv
| 127 | 26 |
2023-06-17 00:57:46.451000
|
https://github.com/PantoMatrix/BEAT
| 596 |
BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis
|
https://scholar.google.com/scholar?cluster=7260513717871606239&hl=en&as_sdt=0,5
| 46 | 2,022 |
Neuromorphic Data Augmentation for Training Spiking Neural Networks
| 25 |
eccv
| 2 | 0 |
2023-06-17 00:57:46.651000
|
https://github.com/intelligent-computing-lab-yale/nda_snn
| 13 |
Neuromorphic data augmentation for training spiking neural networks
|
https://scholar.google.com/scholar?cluster=4978357844166499503&hl=en&as_sdt=0,3
| 4 | 2,022 |
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
| 16 |
eccv
| 21 | 11 |
2023-06-17 00:57:46.852000
|
https://github.com/celebv-hq/celebv-hq
| 267 |
CelebV-HQ: A large-scale video facial attributes dataset
|
https://scholar.google.com/scholar?cluster=1631605286635488568&hl=en&as_sdt=0,5
| 17 | 2,022 |
MovieCuts: A New Dataset and Benchmark for Cut Type Recognition
| 15 |
eccv
| 2 | 0 |
2023-06-17 00:57:47.053000
|
https://github.com/pardoalejo/moviecuts
| 12 |
Moviecuts: A new dataset and benchmark for cut type recognition
|
https://scholar.google.com/scholar?cluster=16344891051014087091&hl=en&as_sdt=0,14
| 3 | 2,022 |
Not Just Streaks: Towards Ground Truth for Single Image Deraining
| 10 |
eccv
| 6 | 0 |
2023-06-17 00:57:47.255000
|
https://github.com/UCLA-VMG/GT-RAIN
| 16 |
Not Just Streaks: Towards Ground Truth for Single Image Deraining
|
https://scholar.google.com/scholar?cluster=8128851603071658784&hl=en&as_sdt=0,5
| 0 | 2,022 |
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-Verified Image-Caption Associations for MS-COCO
| 13 |
eccv
| 2 | 1 |
2023-06-17 00:57:47.455000
|
https://github.com/naver-ai/eccv-caption
| 45 |
Eccv caption: Correcting false negatives by collecting machine-and-human-verified image-caption associations for ms-coco
|
https://scholar.google.com/scholar?cluster=11262981520406596194&hl=en&as_sdt=0,33
| 2 | 2,022 |
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
| 1 |
eccv
| 1 | 0 |
2023-06-17 00:57:47.656000
|
https://github.com/liuyvchi/mie-x
| 8 |
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
|
https://scholar.google.com/scholar?cluster=2920512126325696294&hl=en&as_sdt=0,44
| 1 | 2,022 |
REALY: Rethinking the Evaluation of 3D Face Reconstruction
| 6 |
eccv
| 15 | 4 |
2023-06-17 00:57:47.858000
|
https://github.com/czh-98/REALY
| 164 |
REALY: Rethinking the Evaluation of 3D Face Reconstruction
|
https://scholar.google.com/scholar?cluster=522284677847327970&hl=en&as_sdt=0,1
| 9 | 2,022 |
A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge
| 29 |
eccv
| 4 | 1 |
2023-06-17 00:57:48.065000
|
https://github.com/allenai/aokvqa
| 27 |
A-okvqa: A benchmark for visual question answering using world knowledge
|
https://scholar.google.com/scholar?cluster=5632700317047117021&hl=en&as_sdt=0,33
| 4 | 2,022 |
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing
| 4 |
eccv
| 1 | 1 |
2023-06-17 00:57:48.273000
|
https://github.com/dawitmureja/ave
| 19 |
The anatomy of video editing: A dataset and benchmark suite for ai-assisted video editing
|
https://scholar.google.com/scholar?cluster=15734096510585924526&hl=en&as_sdt=0,31
| 2 | 2,022 |
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context
| 14 |
eccv
| 3 | 4 |
2023-06-17 00:57:48.475000
|
https://github.com/pinakinathc/fscoco
| 11 |
FS-COCO: towards understanding of freehand sketches of common objects in context
|
https://scholar.google.com/scholar?cluster=12913917313302878483&hl=en&as_sdt=0,33
| 2 | 2,022 |
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
| 3 |
eccv
| 2 | 1 |
2023-06-17 00:57:48.676000
|
https://github.com/visipedia/ssw60
| 11 |
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
|
https://scholar.google.com/scholar?cluster=11318172812364510822&hl=en&as_sdt=0,47
| 7 | 2,022 |
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
| 3 |
eccv
| 6 | 0 |
2023-06-17 00:57:48.878000
|
https://github.com/visipedia/caltech-fish-counting
| 21 |
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
|
https://scholar.google.com/scholar?cluster=2552219111490923370&hl=en&as_sdt=0,31
| 5 | 2,022 |
A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility
| 8 |
eccv
| 3 | 1 |
2023-06-17 00:57:49.080000
|
https://github.com/aburns4/MoTIF
| 24 |
A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility
|
https://scholar.google.com/scholar?cluster=7400246580397663222&hl=en&as_sdt=0,47
| 1 | 2,022 |
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis
| 1 |
eccv
| 4 | 1 |
2023-06-17 00:57:49.293000
|
https://github.com/dmoltisanti/brace
| 60 |
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis
|
https://scholar.google.com/scholar?cluster=9212492746103555729&hl=en&as_sdt=0,3
| 3 | 2,022 |
Dress Code: High-Resolution Multi-Category Virtual Try-On
| 9 |
eccv
| 18 | 5 |
2023-06-17 00:57:49.494000
|
https://github.com/aimagelab/dress-code
| 210 |
Dress Code: High-Resolution Multi-Category Virtual Try-On
|
https://scholar.google.com/scholar?cluster=7454515160743762050&hl=en&as_sdt=0,5
| 15 | 2,022 |
A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-Supervised Classification and Clustering
| 2 |
eccv
| 0 | 0 |
2023-06-17 00:57:49.698000
|
https://github.com/emprime/dc3
| 2 |
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering
|
https://scholar.google.com/scholar?cluster=16780375661347906000&hl=en&as_sdt=0,5
| 0 | 2,022 |
ClearPose: Large-Scale Transparent Object Dataset and Benchmark
| 6 |
eccv
| 4 | 0 |
2023-06-17 00:57:49.900000
|
https://github.com/opipari/clearpose
| 20 |
Clearpose: Large-scale transparent object dataset and benchmark
|
https://scholar.google.com/scholar?cluster=4905831487375014650&hl=en&as_sdt=0,44
| 2 | 2,022 |
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics
| 6 |
eccv
| 0 | 0 |
2023-06-17 00:57:50.121000
|
https://github.com/ccc-frankfurt/intrinsic_ordering_nn_training
| 6 |
When deep classifiers agree: Analyzing correlations between learning order and image statistics
|
https://scholar.google.com/scholar?cluster=11354728863770927806&hl=en&as_sdt=0,22
| 2 | 2,022 |
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
| 1 |
eccv
| 3 | 0 |
2023-06-17 00:57:50.322000
|
https://github.com/kangyeolk/animeceleb
| 81 |
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
|
https://scholar.google.com/scholar?cluster=7350859631265970781&hl=en&as_sdt=0,31
| 8 | 2,022 |
MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration
| 10 |
eccv
| 1 | 0 |
2023-06-17 00:57:50.524000
|
https://github.com/mugen-org/MUGEN_baseline
| 33 |
Mugen: A playground for video-audio-text multimodal understanding and generation
|
https://scholar.google.com/scholar?cluster=3281106057994369191&hl=en&as_sdt=0,5
| 3 | 2,022 |
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing
| 1 |
eccv
| 13 | 0 |
2023-06-17 00:57:50.725000
|
https://github.com/apple/ml-dms-dataset
| 31 |
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing
|
https://scholar.google.com/scholar?cluster=3365791015627837272&hl=en&as_sdt=0,1
| 7 | 2,022 |
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights
| 2 |
eccv
| 1 | 0 |
2023-06-17 00:57:50.929000
|
https://github.com/vtp-tl/d2-tpred
| 9 |
D2-TPred: Discontinuous Dependency for Trajectory Prediction Under Traffic Lights
|
https://scholar.google.com/scholar?cluster=17332870224184443677&hl=en&as_sdt=0,31
| 1 | 2,022 |
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments
| 1 |
eccv
| 2 | 0 |
2023-06-17 00:57:51.130000
|
https://github.com/shubham1810/trove_toolkit
| 9 |
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments
|
https://scholar.google.com/scholar?cluster=15126258770510875217&hl=en&as_sdt=0,5
| 2 | 2,022 |
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
| 24 |
eccv
| 10 | 0 |
2023-06-17 00:57:51.330000
|
https://github.com/nightmare-n/graphrcnn
| 108 |
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
|
https://scholar.google.com/scholar?cluster=15876090926063291773&hl=en&as_sdt=0,33
| 6 | 2,022 |
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection
| 24 |
eccv
| 1,118 | 45 |
2023-06-17 00:57:51.532000
|
https://github.com/open-mmlab/OpenPCDet
| 3,652 |
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection
|
https://scholar.google.com/scholar?cluster=9939036585508006363&hl=en&as_sdt=0,31
| 73 | 2,022 |
Long-Tail Detection with Effective Class-Margins
| 2 |
eccv
| 6 | 1 |
2023-06-17 00:57:51.732000
|
https://github.com/janghyuncho/ecm-loss
| 56 |
Long-tail detection with effective class-margins
|
https://scholar.google.com/scholar?cluster=11001163024932915751&hl=en&as_sdt=0,22
| 3 | 2,022 |
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer towards Video Object Detection
| 7 |
eccv
| 7 | 4 |
2023-06-17 00:57:51.933000
|
https://github.com/hon-wong/ptseformer
| 16 |
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection
|
https://scholar.google.com/scholar?cluster=13506042649050803522&hl=en&as_sdt=0,44
| 2 | 2,022 |
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
| 211 |
eccv
| 1 | 1 |
2023-06-17 00:57:52.135000
|
https://github.com/zhiqi-li/BEVFormer
| 6 |
Bevformer: Learning bird's-eye-view representation from multi-camera images via spatiotemporal transformers
|
https://scholar.google.com/scholar?cluster=5447961710166142858&hl=en&as_sdt=0,10
| 2 | 2,022 |
Category-Level 6D Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks
| 8 |
eccv
| 4 | 3 |
2023-06-17 00:57:52.335000
|
https://github.com/jiehonglin/self-dpdn
| 33 |
Category-level 6D object pose and size estimation using self-supervised deep prior deformation networks
|
https://scholar.google.com/scholar?cluster=11147746604570298398&hl=en&as_sdt=0,44
| 3 | 2,022 |
Dense Teacher: Dense Pseudo-Labels for Semi-Supervised Object Detection
| 21 |
eccv
| 12 | 12 |
2023-06-17 00:57:52.536000
|
https://github.com/megvii-basedetection/denseteacher
| 100 |
Dense teacher: Dense pseudo-labels for semi-supervised object detection
|
https://scholar.google.com/scholar?cluster=17675636447045263550&hl=en&as_sdt=0,5
| 4 | 2,022 |
Point-to-Box Network for Accurate Object Detection via Single Point Supervision
| 3 |
eccv
| 8 | 2 |
2023-06-17 00:57:52.738000
|
https://github.com/ucas-vg/p2bnet
| 57 |
Point-to-Box Network for Accurate Object Detection via Single Point Supervision
|
https://scholar.google.com/scholar?cluster=13593904962102464183&hl=en&as_sdt=0,33
| 1 | 2,022 |
Open-Vocabulary DETR with Conditional Matching
| 30 |
eccv
| 12 | 14 |
2023-06-17 00:57:52.939000
|
https://github.com/yuhangzang/ov-detr
| 164 |
Open-vocabulary detr with conditional matching
|
https://scholar.google.com/scholar?cluster=9203701250519937347&hl=en&as_sdt=0,5
| 6 | 2,022 |
Prediction-Guided Distillation for Dense Object Detection
| 8 |
eccv
| 10 | 2 |
2023-06-17 00:57:53.140000
|
https://github.com/chenhongyiyang/pgd
| 60 |
Prediction-guided distillation for dense object detection
|
https://scholar.google.com/scholar?cluster=9677628548632218298&hl=en&as_sdt=0,11
| 1 | 2,022 |
Multimodal Object Detection via Probabilistic Ensembling
| 13 |
eccv
| 12 | 9 |
2023-06-17 00:57:53.341000
|
https://github.com/Jamie725/RGBT-detection
| 79 |
Multimodal object detection via probabilistic ensembling
|
https://scholar.google.com/scholar?cluster=2423878409061892272&hl=en&as_sdt=0,5
| 2 | 2,022 |
Exploiting Unlabeled Data with Vision and Language Models for Object Detection
| 17 |
eccv
| 5 | 3 |
2023-06-17 00:57:53.542000
|
https://github.com/xiaofeng94/vl-plm
| 68 |
Exploiting unlabeled data with vision and language models for object detection
|
https://scholar.google.com/scholar?cluster=2792832346656785372&hl=en&as_sdt=0,22
| 3 | 2,022 |
INT: Towards Infinite-Frames 3D Detection with an Efficient Framework
| 6 |
eccv
| 0 | 0 |
2023-06-17 00:57:53.743000
|
https://github.com/ADLab-AutoDrive/INT
| 29 |
INT: Towards Infinite-Frames 3D Detection with an Efficient Framework
|
https://scholar.google.com/scholar?cluster=15766447330986922378&hl=en&as_sdt=0,44
| 5 | 2,022 |
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training
| 9 |
eccv
| 0 | 1 |
2023-06-17 00:57:53.945000
|
https://github.com/zhyever/stmono3d
| 22 |
Unsupervised domain adaptation for monocular 3d object detection via self-training
|
https://scholar.google.com/scholar?cluster=18046147719056980644&hl=en&as_sdt=0,5
| 10 | 2,022 |
SuperLine3D: Self-Supervised Line Segmentation and Description for LiDAR Point Cloud
| 2 |
eccv
| 4 | 5 |
2023-06-17 00:57:54.145000
|
https://github.com/zxrzju/superline3d
| 132 |
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud
|
https://scholar.google.com/scholar?cluster=1892879897103098418&hl=en&as_sdt=0,36
| 2 | 2,022 |
Adversarially-Aware Robust Object Detector
| 4 |
eccv
| 10 | 7 |
2023-06-17 00:57:54.345000
|
https://github.com/7eu7d7/robustdet
| 41 |
Adversarially-aware robust object detector
|
https://scholar.google.com/scholar?cluster=9399655475680081198&hl=en&as_sdt=0,15
| 2 | 2,022 |
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors
| 4 |
eccv
| 0 | 2 |
2023-06-17 00:57:54.545000
|
https://github.com/lutingwang/head
| 11 |
Head: Hetero-assists distillation for heterogeneous object detectors
|
https://scholar.google.com/scholar?cluster=9132276678803270854&hl=en&as_sdt=0,5
| 2 | 2,022 |
You Should Look at All Objects
| 4 |
eccv
| 2 | 8 |
2023-06-17 00:57:54.746000
|
https://github.com/charlespikachu/yslao
| 71 |
You Should Look at All Objects
|
https://scholar.google.com/scholar?cluster=7436725887660345544&hl=en&as_sdt=0,47
| 7 | 2,022 |
Detecting Twenty-Thousand Classes Using Image-Level Supervision
| 141 |
eccv
| 155 | 49 |
2023-06-17 00:57:54.948000
|
https://github.com/facebookresearch/Detic
| 1,466 |
Detecting twenty-thousand classes using image-level supervision
|
https://scholar.google.com/scholar?cluster=2641915666092458000&hl=en&as_sdt=0,5
| 18 | 2,022 |
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation
| 1 |
eccv
| 1 | 1 |
2023-06-17 00:57:55.149000
|
https://github.com/gorilla-lab-scut/dcl-net
| 15 |
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation
|
https://scholar.google.com/scholar?cluster=15281342953378875281&hl=en&as_sdt=0,10
| 2 | 2,022 |
Monocular 3D Object Detection with Depth from Motion
| 24 |
eccv
| 22 | 5 |
2023-06-17 00:57:55.350000
|
https://github.com/tai-wang/depth-from-motion
| 264 |
Monocular 3d object detection with depth from motion
|
https://scholar.google.com/scholar?cluster=6486278392250669413&hl=en&as_sdt=0,6
| 10 | 2,022 |
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
| 4 |
eccv
| 1 | 1 |
2023-06-17 00:57:55.550000
|
https://github.com/fylwen/disp-6d
| 30 |
Disentangled implicit shape and pose learning for scalable 6D pose estimation
|
https://scholar.google.com/scholar?cluster=3070155732865444276&hl=en&as_sdt=0,5
| 3 | 2,022 |
Distilling Object Detectors with Global Knowledge
| 2 |
eccv
| 0 | 2 |
2023-06-17 00:57:55.752000
|
https://github.com/hikvision-research/davar-lab-ml
| 4 |
Distilling Object Detectors with Global Knowledge
|
https://scholar.google.com/scholar?cluster=8385771225908193375&hl=en&as_sdt=0,44
| 2 | 2,022 |
Unifying Visual Perception by Dispersible Points Learning
| 2 |
eccv
| 2 | 0 |
2023-06-17 00:57:55.952000
|
https://github.com/sense-x/unihead
| 45 |
Unifying Visual Perception by Dispersible Points Learning
|
https://scholar.google.com/scholar?cluster=9623652872686078493&hl=en&as_sdt=0,5
| 1 | 2,022 |
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
| 25 |
eccv
| 16 | 15 |
2023-06-17 00:57:56.153000
|
https://github.com/ligang-cs/PseCo
| 116 |
Pseco: Pseudo labeling and consistency training for semi-supervised object detection
|
https://scholar.google.com/scholar?cluster=10966123175723115004&hl=en&as_sdt=0,43
| 3 | 2,022 |
Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection
| 1 |
eccv
| 3 | 2 |
2023-06-17 00:57:56.354000
|
https://github.com/cuiziteng/eccv_aeris
| 41 |
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
|
https://scholar.google.com/scholar?cluster=5037952713251039767&hl=en&as_sdt=0,32
| 2 | 2,022 |
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
| 4 |
eccv
| 1 | 1 |
2023-06-17 00:57:56.554000
|
https://github.com/wufeim/6d_pose_eccv22
| 0 |
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
|
https://scholar.google.com/scholar?cluster=4840476718849025600&hl=en&as_sdt=0,5
| 1 | 2,022 |
RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection
| 15 |
eccv
| 13 | 21 |
2023-06-17 00:57:56.755000
|
https://github.com/chasel-tsui/mmdet-rfla
| 159 |
RFLA: Gaussian receptive field based label assignment for tiny object detection
|
https://scholar.google.com/scholar?cluster=16490222600712608071&hl=en&as_sdt=0,3
| 1 | 2,022 |
Rethinking IoU-Based Optimization for Single-Stage 3D Object Detection
| 7 |
eccv
| 12 | 20 |
2023-06-17 00:57:56.957000
|
https://github.com/hlsheng1/rdiou
| 105 |
Rethinking IoU-based Optimization for Single-stage 3D Object Detection
|
https://scholar.google.com/scholar?cluster=6927002374951805343&hl=en&as_sdt=0,5
| 6 | 2,022 |
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection
| 4 |
eccv
| 2 | 4 |
2023-06-17 00:57:57.157000
|
https://github.com/wushuang1998/mfdc
| 15 |
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection
|
https://scholar.google.com/scholar?cluster=16573983045210502732&hl=en&as_sdt=0,33
| 1 | 2,022 |
PointCLM: A Contrastive Learning-Based Framework for Multi-Instance Point Cloud Registration
| 0 |
eccv
| 0 | 2 |
2023-06-17 00:57:57.359000
|
https://github.com/phdymz/pointclm
| 12 |
PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration
|
https://scholar.google.com/scholar?cluster=14365361997663714453&hl=en&as_sdt=0,5
| 2 | 2,022 |
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration
| 7 |
eccv
| 7 | 6 |
2023-06-17 00:57:57.562000
|
https://github.com/164140757/scm
| 24 |
Weakly supervised object localization via transformer with implicit spatial calibration
|
https://scholar.google.com/scholar?cluster=10897332842178251748&hl=en&as_sdt=0,10
| 1 | 2,022 |
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
| 16 |
eccv
| 25 | 1 |
2023-06-17 00:57:57.764000
|
https://github.com/abhi1kumar/deviant
| 156 |
Deviant: Depth equivariant network for monocular 3d object detection
|
https://scholar.google.com/scholar?cluster=5363090072196311219&hl=en&as_sdt=0,23
| 4 | 2,022 |
Label-Guided Auxiliary Training Improves 3D Object Detector
| 4 |
eccv
| 0 | 0 |
2023-06-17 00:57:57.965000
|
https://github.com/fabiencode/lg3d
| 7 |
Label-guided auxiliary training improves 3d object detector
|
https://scholar.google.com/scholar?cluster=16014327819135887195&hl=en&as_sdt=0,14
| 3 | 2,022 |
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images
| 18 |
eccv
| 6 | 7 |
2023-06-17 00:57:58.167000
|
https://github.com/fcjian/PromptDet
| 128 |
Promptdet: Towards open-vocabulary detection using uncurated images
|
https://scholar.google.com/scholar?cluster=11282569843876232296&hl=en&as_sdt=0,49
| 2 | 2,022 |
Densely Constrained Depth Estimator for Monocular 3D Object Detection
| 8 |
eccv
| 3 | 1 |
2023-06-17 00:57:58.369000
|
https://github.com/bravegroup/dcd
| 45 |
Densely Constrained Depth Estimator for Monocular 3D Object Detection
|
https://scholar.google.com/scholar?cluster=17925631653392765663&hl=en&as_sdt=0,25
| 3 | 2,022 |
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching
| 10 |
eccv
| 6 | 2 |
2023-06-17 00:57:58.578000
|
https://github.com/activevisionlab/dfnet
| 69 |
Dfnet: Enhance absolute pose regression with direct feature matching
|
https://scholar.google.com/scholar?cluster=18094200173009161158&hl=en&as_sdt=0,32
| 4 | 2,022 |
PillarNet: Real-Time and High-Performance Pillar-Based 3D Object Detection
| 20 |
eccv
| 14 | 8 |
2023-06-17 00:57:58.794000
|
https://github.com/agent-sgs/pillarnet
| 168 |
Pillarnet: Real-time and high-performance pillar-based 3d object detection
|
https://scholar.google.com/scholar?cluster=4019899772206366950&hl=en&as_sdt=0,34
| 6 | 2,022 |
Robust Object Detection with Inaccurate Bounding Boxes
| 3 |
eccv
| 2 | 2 |
2023-06-17 00:57:58.995000
|
https://github.com/cxliu0/oa-mil
| 29 |
Robust Object Detection with Inaccurate Bounding Boxes
|
https://scholar.google.com/scholar?cluster=2089679862624247517&hl=en&as_sdt=0,29
| 5 | 2,022 |
Efficient Decoder-Free Object Detection with Transformers
| 5 |
eccv
| 5 | 6 |
2023-06-17 00:57:59.197000
|
https://github.com/Pealing/DFFT
| 71 |
Efficient decoder-free object detection with transformers
|
https://scholar.google.com/scholar?cluster=5278530239378148719&hl=en&as_sdt=0,6
| 3 | 2,022 |
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
| 12 |
eccv
| 5 | 21 |
2023-06-17 00:57:59.398000
|
https://github.com/Cc-Hy/CMKD
| 74 |
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
|
https://scholar.google.com/scholar?cluster=2476059482864363015&hl=en&as_sdt=0,5
| 4 | 2,022 |
ReAct: Temporal Action Detection with Relational Queries
| 10 |
eccv
| 3 | 1 |
2023-06-17 00:57:59.600000
|
https://github.com/sssste/react
| 36 |
React: Temporal action detection with relational queries
|
https://scholar.google.com/scholar?cluster=5904831039961991188&hl=en&as_sdt=0,3
| 0 | 2,022 |
Towards Accurate Active Camera Localization
| 1 |
eccv
| 7 | 0 |
2023-06-17 00:57:59.803000
|
https://github.com/qhfang/accurateacl
| 24 |
Towards Accurate Active Camera Localization
|
https://scholar.google.com/scholar?cluster=6184579916001482334&hl=en&as_sdt=0,44
| 3 | 2,022 |
Camera Pose Auto-Encoders for Improving Pose Regression
| 7 |
eccv
| 0 | 4 |
2023-06-17 00:58:00.005000
|
https://github.com/yolish/camera-pose-auto-encoders
| 8 |
Camera pose auto-encoders for improving pose regression
|
https://scholar.google.com/scholar?cluster=1200127166856319634&hl=en&as_sdt=0,5
| 3 | 2,022 |
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization
| 6 |
eccv
| 1 | 0 |
2023-06-17 00:58:00.206000
|
https://github.com/zh460045050/bagcams
| 11 |
Bagging regional classification activation maps for weakly supervised object localization
|
https://scholar.google.com/scholar?cluster=11753021633093920056&hl=en&as_sdt=0,5
| 1 | 2,022 |
UC-OWOD: Unknown-Classified Open World Object Detection
| 11 |
eccv
| 4 | 4 |
2023-06-17 00:58:00.407000
|
https://github.com/johnwuzh/uc-owod
| 17 |
UC-OWOD: Unknown-Classified Open World Object Detection
|
https://scholar.google.com/scholar?cluster=16063369850373717400&hl=en&as_sdt=0,3
| 4 | 2,022 |
3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone
| 9 |
eccv
| 6 | 7 |
2023-06-17 00:58:00.607000
|
https://github.com/emecercelik/ssl-3d-detection
| 28 |
3d object detection with a self-supervised lidar scene flow backbone
|
https://scholar.google.com/scholar?cluster=3097782278362600887&hl=en&as_sdt=0,14
| 3 | 2,022 |
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
| 16 |
eccv
| 4 | 4 |
2023-06-17 00:58:00.819000
|
https://github.com/salesforce/pb-ovd
| 40 |
Open vocabulary object detection with pseudo bounding-box labels
|
https://scholar.google.com/scholar?cluster=1851007110321536767&hl=en&as_sdt=0,33
| 4 | 2,022 |
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
| 6 |
eccv
| 5 | 11 |
2023-06-17 00:58:01.074000
|
https://github.com/aaronwool/rcvpose
| 19 |
Vote from the center: 6 dof pose estimation in rgb-d images by radial keypoint voting
|
https://scholar.google.com/scholar?cluster=15869715914145770859&hl=en&as_sdt=0,31
| 1 | 2,022 |
Long-Tailed Instance Segmentation Using Gumbel Optimized Loss
| 5 |
eccv
| 2 | 0 |
2023-06-17 00:58:01.335000
|
https://github.com/kostas1515/gol
| 12 |
Long-tailed Instance Segmentation using Gumbel Optimized Loss
|
https://scholar.google.com/scholar?cluster=2756765905530613268&hl=en&as_sdt=0,39
| 2 | 2,022 |
DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection
| 9 |
eccv
| 2 | 0 |
2023-06-17 00:58:01.548000
|
https://github.com/divadi/detmatch
| 30 |
Detmatch: Two teachers are better than one for joint 2d and 3d semi-supervised object detection
|
https://scholar.google.com/scholar?cluster=13044172833366605708&hl=en&as_sdt=0,43
| 10 | 2,022 |
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection
| 13 |
eccv
| 15 | 6 |
2023-06-17 00:58:01.762000
|
https://github.com/mohsenzand/objectbox
| 125 |
Objectbox: From centers to boxes for anchor-free object detection
|
https://scholar.google.com/scholar?cluster=7167680945390018074&hl=en&as_sdt=0,39
| 7 | 2,022 |
Is Geometry Enough for Matching in Visual Localization?
| 6 |
eccv
| 6 | 0 |
2023-06-17 00:58:01.974000
|
https://github.com/dvl-tum/gomatch
| 68 |
Is Geometry Enough for Matching in Visual Localization?
|
https://scholar.google.com/scholar?cluster=7930011242295732308&hl=en&as_sdt=0,14
| 11 | 2,022 |
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
| 10 |
eccv
| 5 | 5 |
2023-06-17 00:58:02.188000
|
https://github.com/gdwang08/jigsaw-vad
| 26 |
Video anomaly detection by solving decoupled spatio-temporal jigsaw puzzles
|
https://scholar.google.com/scholar?cluster=12003082504440513279&hl=en&as_sdt=0,7
| 2 | 2,022 |
Class-Agnostic Object Detection with Multi-modal Transformer
| 22 |
eccv
| 20 | 3 |
2023-06-17 00:58:02.403000
|
https://github.com/mmaaz60/mvits_for_class_agnostic_od
| 244 |
Class-agnostic object detection with multi-modal transformer
|
https://scholar.google.com/scholar?cluster=6789740800407892437&hl=en&as_sdt=0,47
| 7 | 2,022 |
Object Detection As Probabilistic Set Prediction
| 2 |
eccv
| 1 | 0 |
2023-06-17 00:58:02.620000
|
https://github.com/georghess/pmb-nll
| 7 |
Object Detection as Probabilistic Set Prediction
|
https://scholar.google.com/scholar?cluster=8679090498560042960&hl=en&as_sdt=0,3
| 1 | 2,022 |
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
| 1 |
eccv
| 0 | 3 |
2023-06-17 00:58:02.833000
|
https://github.com/lizhi1104/haan
| 12 |
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
|
https://scholar.google.com/scholar?cluster=17264237154516113642&hl=en&as_sdt=0,36
| 2 | 2,022 |
On Label Granularity and Object Localization
| 4 |
eccv
| 2 | 0 |
2023-06-17 00:58:03.047000
|
https://github.com/visipedia/inat_loc
| 8 |
On Label Granularity and Object Localization
|
https://scholar.google.com/scholar?cluster=2422681559524449972&hl=en&as_sdt=0,48
| 6 | 2,022 |
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search
| 4 |
eccv
| 10 | 0 |
2023-06-17 00:58:03.259000
|
https://github.com/cvlab-yonsei/OIMNetPlus
| 37 |
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search
|
https://scholar.google.com/scholar?cluster=1410585188248909504&hl=en&as_sdt=0,33
| 4 | 2,022 |
3D Random Occlusion and Multi-layer Projection for Deep Multi-Camera Pedestrian Localization
| 3 |
eccv
| 0 | 0 |
2023-06-17 00:58:03.471000
|
https://github.com/xjtlu-cvlab/3drom
| 5 |
3D Random Occlusion and Multi-layer Projection for Deep Multi-camera Pedestrian Localization
|
https://scholar.google.com/scholar?cluster=16600455857951353236&hl=en&as_sdt=0,47
| 1 | 2,022 |
Knowledge Condensation Distillation
| 5 |
eccv
| 2 | 2 |
2023-06-17 00:58:03.682000
|
https://github.com/dzy3/kcd
| 21 |
Knowledge condensation distillation
|
https://scholar.google.com/scholar?cluster=14400509218936192311&hl=en&as_sdt=0,5
| 1 | 2,022 |
Masked Generative Distillation
| 37 |
eccv
| 20 | 2 |
2023-06-17 00:58:03.893000
|
https://github.com/yzd-v/MGD
| 165 |
Masked generative distillation
|
https://scholar.google.com/scholar?cluster=2410146594804744602&hl=en&as_sdt=0,32
| 1 | 2,022 |
Fine-Grained Data Distribution Alignment for Post-Training Quantization
| 8 |
eccv
| 0 | 0 |
2023-06-17 00:58:04.105000
|
https://github.com/zysxmu/fdda
| 11 |
Fine-grained data distribution alignment for post-training quantization
|
https://scholar.google.com/scholar?cluster=1370940591931369082&hl=en&as_sdt=0,41
| 1 | 2,022 |
Efficient One Pass Self-Distillation with Zipf's Label Smoothing
| 4 |
eccv
| 3 | 0 |
2023-06-17 00:58:04.317000
|
https://github.com/megvii-research/zipfls
| 22 |
Efficient One Pass Self-distillation with Zipf's Label Smoothing
|
https://scholar.google.com/scholar?cluster=616033282917040366&hl=en&as_sdt=0,31
| 3 | 2,022 |
Prune Your Model before Distill It
| 5 |
eccv
| 3 | 0 |
2023-06-17 00:58:04.528000
|
https://github.com/ososos888/prune-then-distill
| 32 |
Prune your model before distill it
|
https://scholar.google.com/scholar?cluster=2341562978953359586&hl=en&as_sdt=0,44
| 2 | 2,022 |
Patch Similarity Aware Data-Free Quantization for Vision Transformers
| 9 |
eccv
| 11 | 3 |
2023-06-17 00:58:04.740000
|
https://github.com/zkkli/psaq-vit
| 71 |
Patch similarity aware data-free quantization for vision transformers
|
https://scholar.google.com/scholar?cluster=17711527592354393966&hl=en&as_sdt=0,50
| 3 | 2,022 |
Streaming Multiscale Deep Equilibrium Models
| 0 |
eccv
| 0 | 0 |
2023-06-17 00:58:04.951000
|
https://github.com/ufukertenli/streamdeq-code
| 6 |
Streaming Multiscale Deep Equilibrium Models
|
https://scholar.google.com/scholar?cluster=6815895297598856982&hl=en&as_sdt=0,34
| 1 | 2,022 |
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
| 6 |
eccv
| 2 | 0 |
2023-06-17 00:58:05.163000
|
https://github.com/wangt-cn/eqinv
| 17 |
Equivariance and invariance inductive bias for learning from insufficient data
|
https://scholar.google.com/scholar?cluster=3438445539546676262&hl=en&as_sdt=0,10
| 1 | 2,022 |
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance
| 5 |
eccv
| 2 | 0 |
2023-06-17 00:58:05.374000
|
https://github.com/1hunters/LIMPQ
| 20 |
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance
|
https://scholar.google.com/scholar?cluster=12314436994515800017&hl=en&as_sdt=0,34
| 2 | 2,022 |
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers
| 43 |
eccv
| 4 | 5 |
2023-06-17 00:58:05.586000
|
https://github.com/saic-fi/edgevit
| 67 |
Edgevits: Competing light-weight cnns on mobile devices with vision transformers
|
https://scholar.google.com/scholar?cluster=14797189077413553145&hl=en&as_sdt=0,5
| 7 | 2,022 |
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