ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.09259
  4. Cited By
ISD: Self-Supervised Learning by Iterative Similarity Distillation
v1v2v3 (latest)

ISD: Self-Supervised Learning by Iterative Similarity Distillation

IEEE International Conference on Computer Vision (ICCV), 2020
16 December 2020
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Vipin Pillai
Paolo Favaro
Hamed Pirsiavash
    SSL
ArXiv (abs)PDFHTMLGithub (36★)

Papers citing "ISD: Self-Supervised Learning by Iterative Similarity Distillation"

34 / 34 papers shown
Federated Graph Semantic and Structural Learning
Federated Graph Semantic and Structural Learning
Wenke Huang
Guancheng Wan
Mang Ye
Bo Du
FedML
451
83
0
27 Jun 2024
Relational Self-supervised Distillation with Compact Descriptors for
  Image Copy Detection
Relational Self-supervised Distillation with Compact Descriptors for Image Copy Detection
Juntae Kim
Sungwon Woo
Jongho Nang
599
1
0
28 May 2024
Meta Co-Training: Two Views are Better than One
Meta Co-Training: Two Views are Better than One
Jay C. Rothenberger
Dimitrios I. Diochnos
VLM
807
6
0
29 Nov 2023
An Efficient Self-Supervised Cross-View Training For Sentence Embedding
An Efficient Self-Supervised Cross-View Training For Sentence EmbeddingTransactions of the Association for Computational Linguistics (TACL), 2023
Peerat Limkonchotiwat
Wuttikorn Ponwitayarat
Lalita Lowphansirikul
Can Udomcharoenchaikit
Ekapol Chuangsuwanich
Sarana Nutanong
SSLAI4TS
232
5
0
06 Nov 2023
I$^2$MD: 3D Action Representation Learning with Inter- and Intra-modal
  Mutual Distillation
I2^22MD: 3D Action Representation Learning with Inter- and Intra-modal Mutual Distillation
Yunyao Mao
Jiajun Deng
Wen-gang Zhou
Zhenbo Lu
Wanli Ouyang
Houqiang Li
VLM
283
0
0
24 Oct 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance
  Similarity Learning
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wenke Huang
J. J. Valero-Mas
Dasaem Jeong
Bo Du
FedML
262
87
0
28 Sep 2023
MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues
MSVQ: Self-Supervised Learning with Multiple Sample Views and QueuesKnowledge-Based Systems (KBS), 2023
Chengwei Peng
Xianzhong Long
Yun Li
SSL
264
3
0
09 May 2023
A Cookbook of Self-Supervised Learning
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDaFedMLSSL
519
377
0
24 Apr 2023
Multi-Mode Online Knowledge Distillation for Self-Supervised Visual
  Representation Learning
Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2023
Kaiyou Song
Jin Xie
Shanyi Zhang
Zimeng Luo
413
37
0
13 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised
  Learning
Defending Against Patch-based Backdoor Attacks on Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2023
Ajinkya Tejankar
Maziar Sanjabi
Qifan Wang
Sinong Wang
Hamed Firooz
Hamed Pirsiavash
L Tan
AAML
243
32
0
04 Apr 2023
Constructive Assimilation: Boosting Contrastive Learning Performance
  through View Generation Strategies
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Ligong Han
Seung-Jun Han
Shivchander Sudalairaj
Charlotte Loh
Rumen Dangovski
...
Pulkit Agrawal
Dimitris N. Metaxas
Leonid Karlinsky
Tsui-Wei Weng
Akash Srivastava
325
4
0
02 Apr 2023
DualFair: Fair Representation Learning at Both Group and Individual
  Levels via Contrastive Self-supervision
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervisionThe Web Conference (WWW), 2023
Sungwon Han
Seungeon Lee
Fangzhao Wu
Sundong Kim
Chuhan Wu
Xiting Wang
Xing Xie
M. Cha
FaML
184
16
0
15 Mar 2023
Rethinking Semi-Supervised Medical Image Segmentation: A
  Variance-Reduction Perspective
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction PerspectiveNeural Information Processing Systems (NeurIPS), 2023
Chenyu You
Weicheng Dai
Yifei Min
Fenglin Liu
David Clifton
S. Kevin Zhou
Lawrence H. Staib
James S Duncan
653
121
0
03 Feb 2023
Transferring Pre-trained Multimodal Representations with Cross-modal
  Similarity Matching
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity MatchingNeural Information Processing Systems (NeurIPS), 2023
Byoungjip Kim
Sun Choi
Dasol Hwang
Moontae Lee
Honglak Lee
247
19
0
07 Jan 2023
Semantics-Consistent Feature Search for Self-Supervised Visual
  Representation Learning
Semantics-Consistent Feature Search for Self-Supervised Visual Representation LearningIEEE International Conference on Computer Vision (ICCV), 2022
Kaiyou Song
Shanyi Zhang
Zihao An
Zimeng Luo
Tongzhou Wang
Jin Xie
SSL
248
10
0
13 Dec 2022
Masked Video Distillation: Rethinking Masked Feature Modeling for
  Self-supervised Video Representation Learning
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation LearningComputer Vision and Pattern Recognition (CVPR), 2022
Rui Wang
Dongdong Chen
Zuxuan Wu
Yinpeng Chen
Xiyang Dai
Xiyang Dai
Lu Yuan
Yu-Gang Jiang
VGen
417
124
0
08 Dec 2022
Beyond Instance Discrimination: Relation-aware Contrastive
  Self-supervised Learning
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised LearningIEEE transactions on multimedia (IEEE TMM), 2022
Yifei Zhang
Chang-rui Liu
Can Ma
Weiping Wang
QiXiang Ye
Xiangyang Ji
SSLISegBDL
221
10
0
02 Nov 2022
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with
  Extremely Limited Labels
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Chenyu You
Weicheng Dai
Fenglin Liu
Yifei Min
Haoran Su
Xiaoran Zhang
Xiaoxiao Li
David Clifton
Lawrence H. Staib
James S. Duncan
779
93
0
27 Sep 2022
CMD: Self-supervised 3D Action Representation Learning with Cross-modal
  Mutual Distillation
CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual DistillationEuropean Conference on Computer Vision (ECCV), 2022
Yunyao Mao
Wen-gang Zhou
Zhenbo Lu
Jiajun Deng
Houqiang Li
405
72
0
26 Aug 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
FedX: Unsupervised Federated Learning with Cross Knowledge DistillationEuropean Conference on Computer Vision (ECCV), 2022
Sungwon Han
Sungwon Park
Fangzhao Wu
Sundong Kim
Chuhan Wu
Xing Xie
M. Cha
FedML
275
87
0
19 Jul 2022
SimA: Simple Softmax-free Attention for Vision Transformers
SimA: Simple Softmax-free Attention for Vision TransformersIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
344
41
0
17 Jun 2022
Bootstrapping Semi-supervised Medical Image Segmentation with
  Anatomical-aware Contrastive Distillation
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationInformation Processing in Medical Imaging (IPMI), 2022
Chenyu You
Weichen Dai
Yifei Min
Lawrence H. Staib
James S. Duncan
408
99
0
06 Jun 2022
3D-Augmented Contrastive Knowledge Distillation for Image-based Object
  Pose Estimation
3D-Augmented Contrastive Knowledge Distillation for Image-based Object Pose EstimationInternational Conference on Multimedia Retrieval (ICMR), 2022
Zhidan Liu
Zhen Xing
Xiangdong Zhou
Yijiang Chen
G. Zhou
3DH
298
3
0
02 Jun 2022
Generalized Knowledge Distillation via Relationship Matching
Generalized Knowledge Distillation via Relationship MatchingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Han-Jia Ye
Su Lu
De-Chuan Zhan
FedML
196
26
0
04 May 2022
Weak Augmentation Guided Relational Self-Supervised Learning
Weak Augmentation Guided Relational Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Mingkai Zheng
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
362
6
0
16 Mar 2022
Constrained Mean Shift Using Distant Yet Related Neighbors for
  Representation Learning
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
K. Navaneet
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Kossar Pourahmadi
Akshayvarun Subramanya
Hamed Pirsiavash
SSL
289
8
0
08 Dec 2021
Auxiliary Learning for Self-Supervised Video Representation via
  Similarity-based Knowledge Distillation
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
Amirhossein Dadashzadeh
Alan Whone
Majid Mirmehdi
SSL
405
5
0
07 Dec 2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains
Unsupervised Domain Generalization by Learning a Bridge Across DomainsComputer Vision and Pattern Recognition (CVPR), 2021
Sivan Harary
Eli Schwartz
Assaf Arbelle
Peter W. J. Staar
Shady Abu Hussein
...
Hildegard Kuehne
Dina Katabi
Kate Saenko
Rogerio Feris
Leonid Karlinsky
OOD
318
55
0
04 Dec 2021
Semantic-Aware Generation for Self-Supervised Visual Representation
  Learning
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
Yunjie Tian
Lingxi Xie
Xiaopeng Zhang
Jiemin Fang
Haohang Xu
Wei Huang
Jianbin Jiao
Qi Tian
QiXiang Ye
SSLGAN
209
19
0
25 Nov 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
300
102
0
15 May 2021
How to represent part-whole hierarchies in a neural network
How to represent part-whole hierarchies in a neural networkNeural Computation (Neural Comput.), 2021
Geoffrey E. Hinton
OCLMoE
344
222
0
25 Feb 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.4K
4,812
0
17 Jun 2020
ClusterFit: Improving Generalization of Visual Representations
ClusterFit: Improving Generalization of Visual RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSLVLM
382
139
0
06 Dec 2019
Contrastive Representation Distillation
Contrastive Representation DistillationInternational Conference on Learning Representations (ICLR), 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
1.5K
1,260
0
23 Oct 2019
1
Page 1 of 1