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Efficient Visual Pretraining with Contrastive Detection
v1v2 (latest)

Efficient Visual Pretraining with Contrastive Detection

IEEE International Conference on Computer Vision (ICCV), 2021
19 March 2021
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
    VLMSSL
ArXiv (abs)PDFHTML

Papers citing "Efficient Visual Pretraining with Contrastive Detection"

50 / 133 papers shown
Title
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Siran Dai
Qianqian Xu
Peisong Wen
Yang Liu
Qingming Huang
136
1
0
20 Oct 2025
Self-supervised structured object representation learning
Self-supervised structured object representation learning
O. Hadjerci
Antoine Letienne
Mohamed Abbas Hedjazi
Adel Hafiane
SSL
94
0
0
27 Aug 2025
Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
Manikanta Kotthapalli
Reshma Bhatia
Nainsi Jain
122
0
0
04 Aug 2025
DIP: Unsupervised Dense In-Context Post-training of Visual Representations
DIP: Unsupervised Dense In-Context Post-training of Visual Representations
Sophia Sirko-Galouchenko
Spyros Gidaris
Antonín Vobecký
Andrei Bursuc
Nicolas Thome
279
1
0
23 Jun 2025
Object-level Self-Distillation for Vision Pretraining
Object-level Self-Distillation for Vision Pretraining
Çağlar Hızlı
Çağatay Yıldız
Pekka Marttinen
OCLVLM
293
0
0
04 Jun 2025
SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
Claudia Cuttano
Gabriele Trivigno
Giuseppe Averta
Carlo Masone
VLM
207
0
0
27 May 2025
Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection
Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object DetectionInternational Conference on Learning Representations (ICLR), 2025
Chuhan Zhang
Chaoyang Zhu
Pingcheng Dong
Long Chen
Dong Zhang
ObjDVLM
1.0K
4
0
14 Mar 2025
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
A Data-Centric Revisit of Pre-Trained Vision Models for Robot LearningComputer Vision and Pattern Recognition (CVPR), 2025
Xin Wen
Bingchen Zhao
Yilun Chen
Jiangmiao Pang
Xiaojuan Qi
LM&Ro
432
3
0
10 Mar 2025
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image
  Modeling
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling
Zhong-Yu Li
Yunheng Li
Deng-Ping Fan
Ming-Ming Cheng
329
0
0
24 Nov 2024
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing
  Contrastive Learning with Dual Reconstruction
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual ReconstructionNeural Information Processing Systems (NeurIPS), 2024
Chen-Long Duan
Yong Li
Xiu-Shen Wei
Lin Zhao
240
4
0
14 Nov 2024
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous DrivingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Maciej K. Wozniak
Hariprasath Govindarajan
Marvin Klingner
Camille Maurice
B Ravi Kiran
S. Yogamani
3DPC
290
3
0
30 Oct 2024
Self-Supervised Learning for Real-World Object Detection: a Survey
Self-Supervised Learning for Real-World Object Detection: a Survey
Alina Ciocarlan
Sidonie Lefebvre
S. L. Hégarat-Mascle
Arnaud Woiselle
ObjD
195
2
0
09 Oct 2024
Improving Object Detection via Local-global Contrastive Learning
Improving Object Detection via Local-global Contrastive LearningBritish Machine Vision Conference (BMVC), 2024
Danai Triantafyllidou
Sarah Parisot
A. Leonardis
Jingyu Sun
277
2
0
07 Oct 2024
Image-to-Lidar Relational Distillation for Autonomous Driving Data
Image-to-Lidar Relational Distillation for Autonomous Driving DataEuropean Conference on Computer Vision (ECCV), 2024
Anas Mahmoud
Ali Harakeh
Steven Waslander
181
4
0
01 Sep 2024
Enhancing Sound Source Localization via False Negative Elimination
Enhancing Sound Source Localization via False Negative EliminationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zengjie Song
Jiangshe Zhang
Yuxi Wang
Junsong Fan
Zhaoxiang Zhang
257
3
0
29 Aug 2024
PooDLe: Pooled and dense self-supervised learning from naturalistic videos
PooDLe: Pooled and dense self-supervised learning from naturalistic videosInternational Conference on Learning Representations (ICLR), 2024
Alex N. Wang
Christopher Hoang
Yuwen Xiong
Yann LeCun
Mengye Ren
443
4
0
20 Aug 2024
Domain Adaptive Lung Nodule Detection in X-ray Image
Domain Adaptive Lung Nodule Detection in X-ray ImageIEEE International Conference on Systems, Man and Cybernetics (SMC), 2024
Haifeng Zhao
Lixiang Jiang
Leilei Ma
Dengdi Sun
Yanping Fu
OOD
290
1
0
28 Jul 2024
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Qing Su
Shihao Ji
236
0
0
24 Jul 2024
Efficient Unsupervised Visual Representation Learning with Explicit
  Cluster Balancing
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
Ioannis Maniadis Metaxas
Georgios Tzimiropoulos
Ioannis Patras
SSL
268
2
0
15 Jul 2024
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal
  Action Localization
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization
Feixiang Zhou
Bryan M. Williams
Hossein Rahmani
185
3
0
10 Jul 2024
Lift, Splat, Map: Lifting Foundation Masks for Label-Free Semantic Scene
  Completion
Lift, Splat, Map: Lifting Foundation Masks for Label-Free Semantic Scene Completion
Arthur Zhang
Rainier Heijne
Joydeep Biswas
237
1
0
03 Jul 2024
SemanticMIM: Marring Masked Image Modeling with Semantics Compression
  for General Visual Representation
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation
Yike Yuan
Huanzhang Dou
Fengjun Guo
Xi Li
218
2
0
15 Jun 2024
OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
OpenESS: Event-based Semantic Scene Understanding with Open VocabulariesComputer Vision and Pattern Recognition (CVPR), 2024
Lingdong Kong
You-Chen Liu
Lai Xing Ng
Benoit R. Cottereau
Wei Tsang Ooi
VLM
222
32
0
08 May 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
397
1
0
08 May 2024
LaneCorrect: Self-supervised Lane Detection
LaneCorrect: Self-supervised Lane Detection
Ming-Jun Nie
Xinyue Cai
Han Xu
Li Zhang
SSL
267
7
0
23 Apr 2024
Masked Image Modeling as a Framework for Self-Supervised Learning across
  Eye Movements
Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements
Robin Weiler
Matthias Brucklacher
C. Pennartz
Sander M. Bohté
197
1
0
12 Apr 2024
GroupContrast: Semantic-aware Self-supervised Representation Learning
  for 3D Understanding
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D UnderstandingComputer Vision and Pattern Recognition (CVPR), 2024
Chengyao Wang
Li Jiang
Xiaoyang Wu
Zhuotao Tian
Bohao Peng
Hengshuang Zhao
Jiaya Jia
3DPCSSL
248
24
0
14 Mar 2024
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised
  Semantic Segmentation
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
Chanyoung Kim
Woojung Han
Dayun Ju
Seong Jae Hwang
343
27
0
03 Mar 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis
Hadi Jamali Rad
247
7
0
04 Feb 2024
Subjective and Objective Analysis of Indian Social Media Video Quality
Subjective and Objective Analysis of Indian Social Media Video Quality
Sandeep Mishra
Mukul Jha
A. Bovik
174
1
0
05 Jan 2024
A Unified Simulation Framework for Visual and Behavioral Fidelity in
  Crowd Analysis
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis
N. Bisagno
Nicola Garau
Antonio Luigi Stefani
Nicola Conci
99
0
0
05 Dec 2023
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
SCLIP: Rethinking Self-Attention for Dense Vision-Language InferenceEuropean Conference on Computer Vision (ECCV), 2023
Feng Wang
Jieru Mei
Yaoyao Liu
VLM
337
116
0
04 Dec 2023
SPOT: Self-Training with Patch-Order Permutation for Object-Centric
  Learning with Autoregressive Transformers
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive TransformersComputer Vision and Pattern Recognition (CVPR), 2023
Ioannis Kakogeorgiou
Spyros Gidaris
Konstantinos Karantzalos
N. Komodakis
ViTOCL
385
27
0
01 Dec 2023
Understanding Self-Supervised Features for Learning Unsupervised
  Instance Segmentation
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation
Paul Engstler
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
SSL
184
7
0
24 Nov 2023
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Proposal-Contrastive Pretraining for Object Detection from Fewer DataInternational Conference on Learning Representations (ICLR), 2023
Quentin Bouniot
Romaric Audigier
Angélique Loesch
Amaury Habrard
ViT
188
4
0
25 Oct 2023
CrIBo: Self-Supervised Learning via Cross-Image Object-Level
  Bootstrapping
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingInternational Conference on Learning Representations (ICLR), 2023
Tim Lebailly
Thomas Stegmüller
Behzad Bozorgtabar
Jean-Philippe Thiran
Tinne Tuytelaars
SSL
333
11
0
11 Oct 2023
Enhancing Representations through Heterogeneous Self-Supervised Learning
Enhancing Representations through Heterogeneous Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhongyu Li
Bo-Wen Yin
Yongxiang Liu
Tianpeng Liu
Ming-Ming Cheng
SSL
330
3
0
08 Oct 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal
  Predictors
Improving Equivariance in State-of-the-Art Supervised Depth and Normal PredictorsIEEE International Conference on Computer Vision (ICCV), 2023
Yuanyi Zhong
Anand Bhattad
Yu-Xiong Wang
David Forsyth
MDE
153
2
0
28 Sep 2023
Learning from SAM: Harnessing a Foundation Model for Sim2Real Adaptation by Regularization
Learning from SAM: Harnessing a Foundation Model for Sim2Real Adaptation by Regularization
Mayara Bonani
Max Schwarz
Sven Behnke
203
1
0
27 Sep 2023
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained
  Recognition
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition
Oindrila Saha
Subhransu Maji
SSL
185
5
0
25 Sep 2023
Attention De-sparsification Matters: Inducing Diversity in Digital
  Pathology Representation Learning
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning
S. Kapse
Srijan Das
Jingwei Zhang
Rajarsi R. Gupta
Joel H. Saltz
Dimitris Samaras
Prateek Prasanna
204
13
0
12 Sep 2023
Contrastive Feature Masking Open-Vocabulary Vision Transformer
Contrastive Feature Masking Open-Vocabulary Vision TransformerIEEE International Conference on Computer Vision (ICCV), 2023
Dahun Kim
A. Angelova
Weicheng Kuo
ObjDVLM
294
37
0
02 Sep 2023
Time Does Tell: Self-Supervised Time-Tuning of Dense Image
  Representations
Time Does Tell: Self-Supervised Time-Tuning of Dense Image RepresentationsIEEE International Conference on Computer Vision (ICCV), 2023
Mohammadreza Salehi
E. Gavves
Cees G. M. Snoek
Yuki M. Asano
VOS
192
27
0
22 Aug 2023
Multi-Label Self-Supervised Learning with Scene Images
Multi-Label Self-Supervised Learning with Scene ImagesIEEE International Conference on Computer Vision (ICCV), 2023
Kevin Zhu
Minghao Fu
Jianxin Wu
SSL
152
18
0
07 Aug 2023
Aligned Unsupervised Pretraining of Object Detectors with Self-training
Aligned Unsupervised Pretraining of Object Detectors with Self-training
Ioannis Maniadis Metaxas
Adrian Bulat
Ioannis Patras
Brais Martínez
Georgios Tzimiropoulos
416
0
0
28 Jul 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised
  Learning of Motion and Content Features
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes
Jean Ponce
Yann LeCun
MDE
243
38
0
24 Jul 2023
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
DreamTeacher: Pretraining Image Backbones with Deep Generative ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Daiqing Li
Huan Ling
Amlan Kar
David Acuna
Seung Wook Kim
Karsten Kreis
Antonio Torralba
Sanja Fidler
VLMDiffM
229
34
0
14 Jul 2023
MIMIC: Masked Image Modeling with Image Correspondences
MIMIC: Masked Image Modeling with Image Correspondences
Kalyani Marathe
Mahtab Bigverdi
Nishat Khan
Tuhin Kundu
Patrick Howe
Sharan Ranjit S
Anand Bhattad
Aniruddha Kembhavi
Linda G. Shapiro
Ranjay Krishna
256
0
0
27 Jun 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Segment Any Point Cloud Sequences by Distilling Vision Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023
You-Chen Liu
Lingdong Kong
Jun Cen
Runnan Chen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
201
132
0
15 Jun 2023
arXiVeri: Automatic table verification with GPT
arXiVeri: Automatic table verification with GPT
Gyungin Shin
Weidi Xie
Samuel Albanie
LMTD
164
1
0
13 Jun 2023
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