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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
FLSL: Feature-level Self-supervised Learning
FLSL: Feature-level Self-supervised LearningNeural Information Processing Systems (NeurIPS), 2023
Qing Su
Anton Netchaev
Hai Helen Li
Shihao Ji
287
9
0
09 Jun 2023
R-MAE: Regions Meet Masked Autoencoders
R-MAE: Regions Meet Masked AutoencodersInternational Conference on Learning Representations (ICLR), 2023
Duy-Kien Nguyen
Vaibhav Aggarwal
Yanghao Li
Martin R. Oswald
Alexander Kirillov
Cees G. M. Snoek
Xinlei Chen
TPM
264
16
0
08 Jun 2023
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with
  Uncurated Images
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated ImagesPattern Recognition (Pattern Recogn.), 2023
Ke Zhu
Yin He
Jianxin Wu
218
7
0
07 Jun 2023
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based
  Point-Level Consistency
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level ConsistencyInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Yike Yuan
Xinghe Fu
Yunlong Yu
Xi Li
MDE
157
7
0
06 Jun 2023
Towards In-context Scene Understanding
Towards In-context Scene UnderstandingNeural Information Processing Systems (NeurIPS), 2023
Ivana Balazevic
David Steiner
Nikhil Parthasarathy
Relja Arandjelović
Olivier J. Hénaff
216
45
0
02 Jun 2023
Masked Autoencoder for Unsupervised Video Summarization
Masked Autoencoder for Unsupervised Video Summarization
Minho Shim
Taeoh Kim
Jinhyung Kim
Dongyoon Wee
133
3
0
02 Jun 2023
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with
  Foundation Models
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023
Zhimin Chen
Longlong Jing
Yingwei Li
Bing Li
303
47
0
15 May 2023
Region-Aware Pretraining for Open-Vocabulary Object Detection with
  Vision Transformers
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2023
Dahun Kim
A. Angelova
Weicheng Kuo
ObjDViTVLM
380
107
0
11 May 2023
Contrastive Mean Teacher for Domain Adaptive Object Detectors
Contrastive Mean Teacher for Domain Adaptive Object DetectorsComputer Vision and Pattern Recognition (CVPR), 2023
Shengcao Cao
D. Joshi
Liangyan Gui
Yu-Xiong Wang
ObjD
273
109
0
04 May 2023
Boosting Video Object Segmentation via Space-time Correspondence
  Learning
Boosting Video Object Segmentation via Space-time Correspondence LearningComputer Vision and Pattern Recognition (CVPR), 2023
Yurong Zhang
Liulei Li
Wenguan Wang
Rong Xie
Li Song
Wenjun Zhang
VOS
219
43
0
13 Apr 2023
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in
  the Wild
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild
Gyeongsik Moon
Hongsuk Choi
Sanghyuk Chun
Jiyoung Lee
Sangdoo Yun
176
8
0
10 Apr 2023
Multi-Level Contrastive Learning for Dense Prediction Task
Multi-Level Contrastive Learning for Dense Prediction Task
Qiushan Guo
Yizhou Yu
Yi Jiang
Jiannan Wu
Zehuan Yuan
Ping Luo
SSL
271
2
0
04 Apr 2023
Siamese DETR
Siamese DETRComputer Vision and Pattern Recognition (CVPR), 2023
Ze-Sen Chen
Gengshi Huang
Wei Li
Jianing Teng
Kun Wang
Jing Shao
Chen Change Loy
Lu Sheng
ViT
135
11
0
31 Mar 2023
INoD: Injected Noise Discriminator for Self-Supervised Representation
  Learning in Agricultural Fields
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural FieldsIEEE Robotics and Automation Letters (RA-L), 2023
Julia Hindel
Nikhil Gosala
Kevin Bregler
Abhinav Valada
217
10
0
31 Mar 2023
De-coupling and De-positioning Dense Self-supervised Learning
De-coupling and De-positioning Dense Self-supervised Learning
Congpei Qiu
Tong Zhang
Wei Ke
Mathieu Salzmann
Sabine Süsstrunk
170
3
0
29 Mar 2023
Adaptive Similarity Bootstrapping for Self-Distillation based
  Representation Learning
Adaptive Similarity Bootstrapping for Self-Distillation based Representation LearningIEEE International Conference on Computer Vision (ICCV), 2023
Tim Lebailly
Thomas Stegmüller
Behzad Bozorgtabar
Jean-Philippe Thiran
Tinne Tuytelaars
SSL
178
3
0
23 Mar 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation
  Learning
CrOC: Cross-View Online Clustering for Dense Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2023
Thomas Stegmüller
Tim Lebailly
Behzad Bozorgtabar
Tinne Tuytelaars
Jean-Philippe Thiran
201
22
0
23 Mar 2023
Correlational Image Modeling for Self-Supervised Visual Pre-Training
Correlational Image Modeling for Self-Supervised Visual Pre-TrainingComputer Vision and Pattern Recognition (CVPR), 2023
Wei Li
Jiahao Xie
Chen Change Loy
SSL
273
17
0
22 Mar 2023
SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object
  Detection with Transformers
SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with TransformersBritish Machine Vision Conference (BMVC), 2023
Guoqiang Jin
Fan Yang
Mingshan Sun
R. Zhao
Yakun Liu
Wei Li
Tianpeng Bao
Liwei Wu
Xingyu Zeng
Rui Zhao
ViT
146
2
0
15 Mar 2023
Open-world Instance Segmentation: Top-down Learning with Bottom-up
  Supervision
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision
Tarun Kalluri
Weiyao Wang
Heng Wang
Manmohan Chandraker
Lorenzo Torresani
Du Tran
159
9
0
09 Mar 2023
Rethinking Self-Supervised Visual Representation Learning in
  Pre-training for 3D Human Pose and Shape Estimation
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape EstimationInternational Conference on Learning Representations (ICLR), 2023
Hongsuk Choi
Hyeongjin Nam
T. Lee
Gyeongsik Moon
Kyoung Mu Lee
201
7
0
09 Mar 2023
Saliency Guided Contrastive Learning on Scene Images
Saliency Guided Contrastive Learning on Scene Images
Meilin Chen
Yizhou Wang
Weizhen He
Feng Zhu
Haiyang Yang
Mengwei He
Rui Zhao
Donglian Qi
Wanli Ouyang
SSL
197
2
0
22 Feb 2023
Self-Supervised Representation Learning from Temporal Ordering of
  Automated Driving Sequences
Self-Supervised Representation Learning from Temporal Ordering of Automated Driving SequencesIEEE Robotics and Automation Letters (RA-L), 2023
Christopher Lang
Alexander Braun
Lars Schillingmann
Karsten Haug
Abhinav Valada
SSL
253
12
0
17 Feb 2023
Vision Learners Meet Web Image-Text Pairs
Vision Learners Meet Web Image-Text Pairs
Bingchen Zhao
Quan Cui
Hao Wu
Osamu Yoshie
Cheng Yang
Oisin Mac Aodha
VLM
173
6
0
17 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future TrendsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
500
329
0
13 Jan 2023
Self-Supervised Image-to-Point Distillation via Semantically Tolerant
  Contrastive Loss
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive LossComputer Vision and Pattern Recognition (CVPR), 2023
Anas Mahmoud
Jordan S. K. Hu
Tianshu Kuai
Ali Harakeh
Liam Paull
Steven L. Waslander
3DPCSSL
160
38
0
12 Jan 2023
Foundation models in brief: A historical, socio-technical focus
Foundation models in brief: A historical, socio-technical focus
Johannes Schneider
VLM
150
12
0
17 Dec 2022
Hyperbolic Contrastive Learning for Visual Representations beyond
  Objects
Hyperbolic Contrastive Learning for Visual Representations beyond ObjectsComputer Vision and Pattern Recognition (CVPR), 2022
Songwei Ge
Shlok Kumar Mishra
Simon Kornblith
Chun-Liang Li
David Jacobs
OCLSSL
243
74
0
01 Dec 2022
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for
  Urban-Scene Segmentation
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene SegmentationBritish Machine Vision Conference (BMVC), 2022
Liang Zeng
A. Lengyel
Nergis Tomen
Jan van Gemert
AI4TS
166
0
0
25 Nov 2022
Ladder Siamese Network: a Method and Insights for Multi-level
  Self-Supervised Learning
Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised LearningInternational Conference on Information Photonics (ICIP), 2022
Ryota Yoshihashi
Shuhei Nishimura
Dai Yonebayashi
Yuya Otsuka
Tomohiro Tanaka
Takashi Miyazaki
SSL
175
2
0
25 Nov 2022
Label-Efficient Object Detection via Region Proposal Network
  Pre-Training
Label-Efficient Object Detection via Region Proposal Network Pre-TrainingNeurocomputing (Neurocomputing), 2022
Nanqing Dong
Linus Ericsson
Yongxin Yang
A. Leonardis
Jingyu Sun
ObjD
210
6
0
16 Nov 2022
Pixel-Wise Contrastive Distillation
Pixel-Wise Contrastive DistillationIEEE International Conference on Computer Vision (ICCV), 2022
Junqiang Huang
Zichao Guo
389
5
0
01 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
218
37
0
30 Oct 2022
Self-Supervised Pretraining on Satellite Imagery: a Case Study on
  Label-Efficient Vehicle Detection
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Jules Bourcier
Thomas Floquet
G. Dashyan
Tugdual Ceillier
Alahari Karteek
Jocelyn Chanussot
SSL
103
1
0
21 Oct 2022
Self-supervised Pre-training for Semantic Segmentation in an Indoor
  Scene
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene
Sulabh Shrestha
Yimeng Li
Jana Kosecka
3DPCSSLSSeg
225
3
0
04 Oct 2022
VICRegL: Self-Supervised Learning of Local Visual Features
VICRegL: Self-Supervised Learning of Local Visual FeaturesNeural Information Processing Systems (NeurIPS), 2022
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
206
149
0
04 Oct 2022
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual
  Pre-training Methods
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
Skanda Koppula
Yazhe Li
Evan Shelhamer
Andrew Jaegle
Nikhil Parthasarathy
Relja Arandjelović
João Carreira
Olivier J. Hénaff
242
10
0
30 Sep 2022
Self-Supervised Pyramid Representation Learning for Multi-Label Visual
  Analysis and Beyond
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and BeyondIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Cheng-Yen Hsieh
Chih-Jung Chang
Fu-En Yang
Yu-Chiang Frank Wang
SSL
175
9
0
30 Aug 2022
Refine and Represent: Region-to-Object Representation Learning
Refine and Represent: Region-to-Object Representation Learning
Akash Gokul
Konstantinos Kallidromitis
Shufang Li
Yu Kato
Kazuki Kozuka
Trevor Darrell
Colorado Reed
SSeg
198
5
0
25 Aug 2022
Label-Free Synthetic Pretraining of Object Detectors
Label-Free Synthetic Pretraining of Object DetectorsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Hei Law
Gaowen Liu
104
5
0
08 Aug 2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in
  Pathology Images
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology ImagesEuropean Conference on Computer Vision (ECCV), 2022
Jiawei Yang
Hanbo Chen
Yuan Liang
Junzhou Huang
Lei He
Jianhua Yao
211
20
0
14 Jul 2022
Self-supervised Learning with Local Contrastive Loss for Detection and
  Semantic Segmentation
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ashraful Islam
Bengt Lundell
H. Sawhney
Sudipta N. Sinha
Peter Morales
Richard J. Radke
SSL
163
11
0
10 Jul 2022
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual
  Correspondence
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual CorrespondenceComputer Vision and Pattern Recognition (CVPR), 2022
Mohammed Alloulah
Maximilian Arnold
SSL
280
2
0
13 Jun 2022
SERE: Exploring Feature Self-relation for Self-supervised Transformer
SERE: Exploring Feature Self-relation for Self-supervised TransformerIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhong-Yu Li
Shanghua Gao
Ming-Ming Cheng
ViTMDE
207
19
0
10 Jun 2022
Spatial Cross-Attention Improves Self-Supervised Visual Representation
  Learning
Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning
M. Seyfi
Amin Banitalebi-Dehkordi
Yong Zhang
SSL
134
0
0
07 Jun 2022
Self-Supervised Visual Representation Learning with Semantic Grouping
Self-Supervised Visual Representation Learning with Semantic GroupingNeural Information Processing Systems (NeurIPS), 2022
Xin Wen
Bingchen Zhao
Anlin Zheng
Xinming Zhang
Xiaojuan Qi
SSL
363
82
0
30 May 2022
Green Hierarchical Vision Transformer for Masked Image Modeling
Green Hierarchical Vision Transformer for Masked Image ModelingNeural Information Processing Systems (NeurIPS), 2022
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
250
82
0
26 May 2022
Self-Supervised Learning of Object Parts for Semantic Segmentation
Self-Supervised Learning of Object Parts for Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
A. Ziegler
Yuki M. Asano
SSLOCL
282
123
0
27 Apr 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving DataComputer Vision and Pattern Recognition (CVPR), 2022
Corentin Sautier
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Andrei Bursuc
Renaud Marlet
3DPC
254
146
0
30 Mar 2022
Learning Where to Learn in Cross-View Self-Supervised Learning
Learning Where to Learn in Cross-View Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2022
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
SSL
113
47
0
28 Mar 2022
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