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Exploring Simple Siamese Representation Learning

Exploring Simple Siamese Representation Learning

Computer Vision and Pattern Recognition (CVPR), 2020
20 November 2020
Xinlei Chen
Kaiming He
    SSL
ArXiv (abs)PDFHTML

Papers citing "Exploring Simple Siamese Representation Learning"

50 / 2,512 papers shown
Exploring the Diversity and Invariance in Yourself for Visual
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Exploring the Diversity and Invariance in Yourself for Visual Pre-Training TaskPattern Recognition (Pattern Recogn.), 2021
Longhui Wei
Lingxi Xie
Wen-gang Zhou
Houqiang Li
Qi Tian
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241
4
0
01 Jun 2021
Toward Understanding the Feature Learning Process of Self-supervised
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Toward Understanding the Feature Learning Process of Self-supervised Contrastive LearningInternational Conference on Machine Learning (ICML), 2021
Zixin Wen
Yuanzhi Li
SSLMLT
411
153
0
31 May 2021
Diffusion-Based Representation Learning
Diffusion-Based Representation LearningInternational Conference on Machine Learning (ICML), 2021
K. Abstreiter
Sarthak Mittal
Stefan Bauer
Bernhard Schölkopf
Arash Mehrjou
DiffM
217
68
0
29 May 2021
Multiple Domain Experts Collaborative Learning: Multi-Source Domain
  Generalization For Person Re-Identification
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification
Shijie Yu
Feng Zhu
Dapeng Chen
Rui Zhao
Haobin Chen
Weizhen He
Jinguo Zhu
Yu Qiao
OOD
248
18
0
26 May 2021
GraphVICRegHSIC: Towards improved self-supervised representation
  learning for graphs with a hyrbid loss function
GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function
Sayan Nag
SSL
233
1
0
25 May 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence
  Representation Transfer
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yuanmeng Yan
Rumei Li
Sirui Wang
Fuzheng Zhang
Wei Wu
Weiran Xu
SSL
282
611
0
25 May 2021
Unsupervised Visual Representation Learning by Online Constrained
  K-Means
Unsupervised Visual Representation Learning by Online Constrained K-MeansComputer Vision and Pattern Recognition (CVPR), 2021
Qi Qian
Yuanhong Xu
Juhua Hu
Hao Li
Rong Jin
CMLSSL
187
43
0
24 May 2021
Backdoor Attacks on Self-Supervised Learning
Backdoor Attacks on Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2021
Aniruddha Saha
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSLAAML
246
125
0
21 May 2021
Multi-layer Perceptron Trainability Explained via Variability
Multi-layer Perceptron Trainability Explained via Variability
Yueyao Yu
Yin Zhang
203
5
0
19 May 2021
Contrastive Model Inversion for Data-Free Knowledge Distillation
Contrastive Model Inversion for Data-Free Knowledge Distillation
Gongfan Fang
Mingli Song
Xinchao Wang
Chen Shen
Xingen Wang
Xiuming Zhang
241
99
0
18 May 2021
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Yuxing Chen
Lorenzo Bruzzone
SSL
271
21
0
18 May 2021
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ
  Segmentation
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
Chae-Eun Lee
Minyoung Chung
Y. Shin
DRL
212
11
0
17 May 2021
Mean Shift for Self-Supervised Learning
Mean Shift for Self-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2021
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
265
99
0
15 May 2021
Contrastive Learning of Image Representations with Cross-Video
  Cycle-Consistency
Contrastive Learning of Image Representations with Cross-Video Cycle-ConsistencyIEEE International Conference on Computer Vision (ICCV), 2021
Haiping Wu
Xiaolong Wang
SSL
160
32
0
13 May 2021
Bootstrapping User and Item Representations for One-Class Collaborative
  Filtering
Bootstrapping User and Item Representations for One-Class Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Dongha Lee
SeongKu Kang
Hyunjun Ju
Chanyoung Park
Hwanjo Yu
160
129
0
13 May 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?Computer Vision and Pattern Recognition (CVPR), 2021
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge Belongie
SSL
399
137
0
12 May 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph
  Representation Learning
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Ming Jin
Yizhen Zheng
Yuan-Fang Li
Chen Gong
Chuan Zhou
Shirui Pan
SSL
267
181
0
12 May 2021
Current State and Future Directions for Learning in Biological Recurrent
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Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective PieceNeurons, Behavior, Data analysis, and Theory (NBDT), 2021
Luke Y. Prince
Roy Henha Eyono
E. Boven
Arna Ghosh
Joe Pemberton
...
Rui Ponte Costa
Wolfgang Maass
Blake A. Richards
Cristina Savin
K. Wilmes
CLL
145
4
0
12 May 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2021
Adrien Bardes
Jean Ponce
Yann LeCun
SSLDML
633
1,111
0
11 May 2021
ICON: Learning Regular Maps Through Inverse Consistency
ICON: Learning Regular Maps Through Inverse ConsistencyIEEE International Conference on Computer Vision (ICCV), 2021
Hastings Greer
Roland Kwitt
François-Xavier Vialard
Marc Niethammer
269
31
0
10 May 2021
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
SCTN: Sparse Convolution-Transformer Network for Scene Flow EstimationAAAI Conference on Artificial Intelligence (AAAI), 2021
Bing Li
Cheng Zheng
Silvio Giancola
Guohao Li
ViT3DPC
311
48
0
10 May 2021
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation
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CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration
Changnan Xiao
Haosen Shi
Jiajun Fan
Shihong Deng
Haiyan Yin
299
0
0
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Contrastive Attraction and Contrastive Repulsion for Representation
  Learning
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng
Xu Chen
Jiangchao Yao
Hongxia Yang
Chunyuan Li
Ya Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
323
13
0
08 May 2021
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2021
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSLOOD
467
210
0
02 May 2021
Hyperspherically Regularized Networks for Self-Supervision
Hyperspherically Regularized Networks for Self-SupervisionImage and Vision Computing (IVC), 2021
A. Durrant
Georgios Leontidis
SSL
389
7
0
29 Apr 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual RepresentationsIEEE International Conference on Computer Vision (ICCV), 2021
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
632
520
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021
Mathilde Caron
Hugo Touvron
Ishan Misra
Edouard Grave
Julien Mairal
Piotr Bojanowski
Armand Joulin
2.0K
7,967
0
29 Apr 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically
  Predicting View Assignments with Support Samples
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support SamplesIEEE International Conference on Computer Vision (ICCV), 2021
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Armand Joulin
Nicolas Ballas
Michael G. Rabbat
SSL
291
166
0
28 Apr 2021
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive
  Learning
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
Yifan Hao
Shaojie Bai
Louis-Philippe Morency
Ruslan Salakhutdinov
SSL
149
41
0
28 Apr 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive
  Learning from a Class-wise Memory Bank
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory BankIEEE International Conference on Computer Vision (ICCV), 2021
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSLCLL
445
248
0
27 Apr 2021
IB-DRR: Incremental Learning with Information-Back Discrete
  Representation Replay
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
Jian Jiang
Edoardo Cetin
Oya Celiktutan
158
12
0
21 Apr 2021
Distill on the Go: Online knowledge distillation in self-supervised
  learning
Distill on the Go: Online knowledge distillation in self-supervised learning
Prashant Shivaram Bhat
Elahe Arani
Bahram Zonooz
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234
34
0
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SelfReg: Self-supervised Contrastive Regularization for Domain
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SelfReg: Self-supervised Contrastive Regularization for Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2021
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
OODSSL
354
322
0
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DisCo: Remedy Self-supervised Learning on Lightweight Models with
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DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Yuting Gao
Jia-Xin Zhuang
Xiaowei Guo
Hao Cheng
Xing Sun
Ke Li
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406
44
0
19 Apr 2021
Solving Inefficiency of Self-supervised Representation Learning
Solving Inefficiency of Self-supervised Representation LearningIEEE International Conference on Computer Vision (ICCV), 2021
Guangrun Wang
Keze Wang
Guangcong Wang
Juil Sock
Liang Lin
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354
62
0
18 Apr 2021
Color Variants Identification in Fashion e-commerce via Contrastive
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Color Variants Identification in Fashion e-commerce via Contrastive Self-Supervised Representation Learning
U. Dutta
Sandeep Repakula
Maulik Parmar
Abhinav Ravi
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129
0
0
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Contrastive Learning with Stronger Augmentations
Contrastive Learning with Stronger AugmentationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianlin Li
Guo-Jun Qi
CLL
306
290
0
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Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face
  Presentation Attack Detection
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
Ajian Liu
Chenxu Zhao
Zitong Yu
Jun Wan
Anyang Su
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Yanyan Liang
G. Guo
Zhen Lei
Stan Z. Li
Du Zhang
CVBM
212
108
0
13 Apr 2021
Contrastive Learning of Global-Local Video Representations
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Shuang Ma
Zhaoyang Zeng
Daniel J. McDuff
Yale Song
SSL
200
8
0
07 Apr 2021
Self-Supervised Learning for Gastritis Detection with Gastric X-ray
  Images
Self-Supervised Learning for Gastritis Detection with Gastric X-ray ImagesInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2021
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
264
17
0
07 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021
Xinlei Chen
Saining Xie
Kaiming He
ViT
609
2,184
0
05 Apr 2021
Rethinking Self-supervised Correspondence Learning: A Video Frame-level
  Similarity Perspective
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Jiarui Xu
Xiaolong Wang
VOS
408
108
0
31 Mar 2021
Pre-training strategies and datasets for facial representation learning
Pre-training strategies and datasets for facial representation learningEuropean Conference on Computer Vision (ECCV), 2021
Adrian Bulat
Shiyang Cheng
Jing Yang
A. Garbett
Enrique Sanchez
Georgios Tzimiropoulos
CVBMSSL
279
41
0
30 Mar 2021
Tasting the cake: evaluating self-supervised generalization on
  out-of-distribution multimodal MRI data
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A. Fedorov
Eloy P. T. Geenjaar
Lei Wu
T. DeRamus
Vince D. Calhoun
Sergey Plis
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186
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HiT: Hierarchical Transformer with Momentum Contrast for Video-Text
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Song Liu
Haoqi Fan
Shengsheng Qian
Yiru Chen
Wenkui Ding
Zhongyuan Wang
352
166
0
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Self-supervised Graph Neural Networks without explicit negative sampling
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Sarunas Girdzijauskas
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248
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Unsupervised Document Embedding via Contrastive Augmentation
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Yanchi Liu
Zhengzhang Chen
Dongjin Song
Haifeng Chen
Xiang Zhang
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168
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Contrasting Contrastive Self-Supervised Representation Learning
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Klemen Kotar
Gabriel Ilharco
Ludwig Schmidt
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Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy
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Rethinking Self-Supervised Learning: Small is Beautiful
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