You, C.[Chong],
Li, C.[Chi],
Robinson, D.P.[Daniel P.],
Vidal, R.[René],
Self-Representation Based Unsupervised Exemplar Selection in a Union
of Subspaces,
PAMI(44), No. 5, May 2022, pp. 2698-2711.
IEEE DOI
2204
Clustering algorithms, Data models, Databases, Clustering methods,
Optimization, Image reconstruction,
subspace clustering
BibRef
Shi, W.J.[Wen-Jie],
Huang, G.[Gao],
Song, S.[Shiji],
Wang, Z.Y.[Zhuo-Yuan],
Lin, T.Y.[Ting-Yu],
Wu, C.[Cheng],
Self-Supervised Discovering of Interpretable Features for
Reinforcement Learning,
PAMI(44), No. 5, May 2022, pp. 2712-2724.
IEEE DOI
2204
Task analysis, Decision making, Perturbation methods,
Reinforcement learning, Jacobian matrices, Visualization, Games,
decision-making process
BibRef
Shi, W.J.[Wen-Jie],
Huang, G.[Gao],
Song, S.[Shiji],
Wu, C.[Cheng],
Temporal-Spatial Causal Interpretations for Vision-Based
Reinforcement Learning,
PAMI(44), No. 12, December 2022, pp. 10222-10235.
IEEE DOI
2212
Adaptation models, Reliability, Decision making,
Perturbation methods, Visualization, Task analysis,
temporal causality
BibRef
Durrant, A.[Aiden],
Leontidis, G.[Georgios],
Hyperspherically regularized networks for self-supervision,
IVC(124), 2022, pp. 104494.
Elsevier DOI
2208
Self-supervised learning, Representation learning,
Representation separability, Image classification
BibRef
Berg, P.[Paul],
Pham, M.T.[Minh-Tan],
Courty, N.[Nicolas],
Self-Supervised Learning for Scene Classification in Remote Sensing:
Current State of the Art and Perspectives,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Gao, Y.[Yuan],
Sun, X.J.[Xiao-Juan],
Liu, C.[Chao],
A General Self-Supervised Framework for Remote Sensing Image
Classification,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Chen, X.L.[Xi-Liang],
Zhu, G.B.[Guo-Bin],
Liu, M.Q.[Ming-Qing],
Remote Sensing Image Scene Classification with Self-Supervised
Learning Based on Partially Unlabeled Datasets,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Calhoun, Z.D.[Zachary D.],
Lahrichi, S.[Saad],
Ren, S.[Simiao],
Malof, J.M.[Jordan M.],
Bradbury, K.[Kyle],
Self-Supervised Encoders Are Better Transfer Learners in Remote
Sensing Applications,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Li, S.[Shuo],
Liu, F.[Fang],
Hao, Z.[Zehua],
Jiao, L.C.[Li-Cheng],
Liu, X.[Xu],
Guo, Y.W.[Yu-Wei],
MinEnt: Minimum entropy for self-supervised representation learning,
PR(138), 2023, pp. 109364.
Elsevier DOI
2303
Self-supervised learning, Minimum entropy,
Unsupervised representation learning, Image classification
BibRef
Wang, H.X.[Han-Xuan],
Lu, N.[Na],
Luo, H.[Huan],
Liu, Q.Y.[Qin-Yang],
Self-supervised clustering with assistance from off-the-shelf
classifier,
PR(138), 2023, pp. 109350.
Elsevier DOI
2303
Deep clustering, Classification, Self-supervised, Sample selection
BibRef
Cheng, H.Y.[Hao-Yang],
Li, H.L.[Hong-Liang],
Qiu, H.Q.[He-Qian],
Wu, Q.B.[Qing-Bo],
Zhang, X.L.[Xiao-Liang],
Meng, F.M.[Fan-Man],
Ngan, K.N.[King Ngi],
Unsupervised Visual Representation Learning via Multi-Dimensional
Relationship Alignment,
IP(32), 2023, pp. 1613-1626.
IEEE DOI
2303
Task analysis, Self-supervised learning, Image reconstruction, Optimization,
Visualization, Training, Representation learning, convolutional neural network
BibRef
Alfaro-Contreras, M.[María],
Ríos-Vila, A.[Antonio],
Valero-Mas, J.J.[Jose J.],
Calvo-Zaragoza, J.[Jorge],
Few-shot symbol classification via self-supervised learning and
nearest neighbor,
PRL(167), 2023, pp. 1-8.
Elsevier DOI
2303
Symbol classification, Document image analysis,
Self-Supervised learning, Few-Shot classification
BibRef
Qin, Y.[Yao],
Ye, Y.X.[Yuan-Xin],
Zhao, Y.[Yue],
Wu, J.Z.[Jun-Zheng],
Zhang, H.[Han],
Cheng, K.[Kenan],
Li, K.[Kun],
Nearest Neighboring Self-Supervised Learning for Hyperspectral Image
Classification,
RS(15), No. 6, 2023, pp. 1713.
DOI Link
2304
BibRef
Ye, F.[Fei],
Bors, A.G.[Adrian G.],
Dynamic Self-Supervised Teacher-Student Network Learning,
PAMI(45), No. 5, May 2023, pp. 5731-5748.
IEEE DOI
2304
Task analysis, Mixture models, Training,
Generative adversarial networks, Data models,
teacher-student framework
BibRef
Wang, J.T.[Jia-Tai],
Xu, Z.W.[Zhi-Wei],
Yang, X.W.[Xue-Wen],
Guo, D.J.[Dong-Jin],
Liu, L.M.[Li-Min],
Self-supervised image clustering from multiple incomplete views via
constrastive complementary generation,
IET-CV(17), No. 2, 2023, pp. 189-202.
DOI Link
2304
clustering from multiple incomplete views,
constrastive learning, generative adversarial network
BibRef
Wang, J.T.[Jia-Tai],
Xu, Z.W.[Zhi-Wei],
Yang, X.W.[Xue-Wen],
Li, H.L.[Hai-Long],
Li, B.[Bo],
Meng, X.Y.[Xu-Ying],
Self-supervised multi-view clustering in computer vision: A survey,
IET-CV(18), No. 6, 2024, pp. 709-734.
DOI Link
2409
pattern clustering
BibRef
Wang, F.[Feng],
Kong, T.[Tao],
Zhang, R.[Rufeng],
Liu, H.P.[Hua-Ping],
Li, H.[Hang],
Self-Supervised Learning by Estimating Twin Class Distribution,
IP(32), 2023, pp. 2228-2236.
IEEE DOI
2305
Task analysis, Mutual information, Entropy,
Probability distribution, Self-supervised learning, image classification
BibRef
Zhao, W.[Wenyi],
Li, C.Y.[Chong-Yi],
Zhang, W.D.[Wei-Dong],
Yang, L.[Lu],
Zhuang, P.X.[Pei-Xian],
Li, L.Q.[Ling-Qiao],
Fan, K.[Kefeng],
Yang, H.H.[Hui-Hua],
Embedding Global Contrastive and Local Location in Self-Supervised
Learning,
CirSysVideo(33), No. 5, May 2023, pp. 2275-2289.
IEEE DOI
2305
Task analysis, Optimization, Feature extraction, Semantics, Training,
Ensemble learning, Data models,
ensemble learning
BibRef
Ge, J.[Jidong],
Liu, Y.X.[Yu-Xiang],
Gui, J.[Jie],
Fang, L.T.[Lan-Ting],
Lin, M.[Ming],
Kwok, J.T.Y.[James Tin-Yau],
Huang, L.G.[Li-Guo],
Luo, B.[Bin],
Learning the Relation Between Similarity Loss and Clustering Loss in
Self-Supervised Learning,
IP(32), 2023, pp. 3442-3454.
IEEE DOI
2307
Self-supervised learning, Training, Supervised learning,
Measurement, Task analysis, Probability distribution, image classification
BibRef
Peng, Z.H.[Zhi-Hao],
Liu, H.[Hui],
Jia, Y.H.[Yu-Heng],
Hou, J.H.[Jun-Hui],
Deep Attention-Guided Graph Clustering With Dual Self-Supervision,
CirSysVideo(33), No. 7, July 2023, pp. 3296-3307.
IEEE DOI
2307
Feature extraction, Decoding, Probability distribution,
Clustering methods, Decision making, Data mining, Limiting,
self-supervision
BibRef
Zhang, X.[Xin],
Han, L.X.[Liang-Xiu],
A Generic Self-Supervised Learning (SSL) Framework for Representation
Learning from Spectral-Spatial Features of Unlabeled Remote Sensing
Imagery,
RS(15), No. 21, 2023, pp. 5238.
DOI Link
2311
BibRef
Xu, G.Z.[Guo-Zheng],
Jiang, X.[Xue],
Li, X.T.[Xiang-Tai],
Zhang, Z.[Ze],
Liu, X.Z.[Xing-Zhao],
Exploring Self-Supervised Learning for Multi-Modal Remote Sensing
Pre-Training via Asymmetric Attention Fusion,
RS(15), No. 24, 2023, pp. 5682.
DOI Link
2401
BibRef
Yan, Z.C.[Zhi-Chao],
An, Y.X.[Yue-Xuan],
Xue, H.[Hui],
Reinforced Self-Supervised Training for Few-Shot Learning,
SPLetters(31), 2024, pp. 731-735.
IEEE DOI
2403
Training, Feature extraction, Task analysis,
Self-supervised learning, Adaptation models, Supervised learning
BibRef
Ma, M.R.[Meng-Ru],
Ma, W.P.[Wen-Ping],
Jiao, L.C.[Li-Cheng],
Liu, X.[Xu],
Liu, F.[Fang],
Li, L.L.[Ling-Ling],
Yang, S.Y.[Shu-Yuan],
MBSI-Net: Multimodal Balanced Self-Learning Interaction Network for
Image Classification,
CirSysVideo(34), No. 5, May 2024, pp. 3819-3833.
IEEE DOI
2405
Remote sensing, Feature extraction, Spatial resolution, Training,
Satellites, Image classification, Knowledge engineering,
transfer learning
BibRef
Zhang, C.[Chuyan],
Yang, Y.C.[Yun-Cheng],
Zheng, H.[Hao],
Huang, Y.W.[Ya-Wen],
Zheng, Y.F.[Ye-Feng],
Gu, Y.[Yun],
Affine Collaborative Normalization: A shortcut for adaptation in
medical image analysis,
PR(153), 2024, pp. 110528.
Elsevier DOI Code:
WWW Link.
2405
Fine-tuning, Transfer learning, Transferability estimation,
Self-supervised learning
BibRef
Wen, L.J.[Liang-Jian],
Wang, X.S.[Xia-Si],
Liu, J.Z.[Jian-Zhuang],
Xu, Z.L.[Zeng-Lin],
MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck,
PAMI(46), No. 9, September 2024, pp. 6097-6108.
IEEE DOI
2408
Task analysis, Entropy, Self-supervised learning,
Mutual information, Supervised learning, Representation learning,
self-supervised learning
BibRef
Park, C.[Chanjong],
Kim, E.[Eunwoo],
Self-supervised learning with automatic data augmentation for
enhancing representation,
PRL(184), 2024, pp. 133-139.
Elsevier DOI
2408
Self-supervised learning, Contrastive learning,
Auto augmentation, Clustering
BibRef
Yi, L.[Lin],
Lv, D.[Di],
Liu, D.[Dinghao],
Li, S.[Suhuan],
Liu, R.[Ran],
Self-Training-Transductive-Learning Broad Learning System (STTL-BLS):
A model for effective and efficient image classification,
PR(156), 2024, pp. 110747.
Elsevier DOI Code:
WWW Link.
2408
Broad learning system, Feature extraction,
Convolutional neural network, Self training, Image classification
BibRef
Zhao, W.[Wenyi],
Yang, L.[Lu],
Zhang, W.D.[Wei-Dong],
Tian, Y.Q.[Yong-Qin],
Jia, W.H.[Wen-He],
Li, W.[Wei],
Yang, M.[Mu],
Pan, X.P.[Xi-Peng],
Yang, H.H.[Hui-Hua],
Learning What and Where to Learn: A New Perspective on
Self-Supervised Learning,
CirSysVideo(34), No. 8, August 2024, pp. 6620-6633.
IEEE DOI Code:
WWW Link.
2408
Semantics, Feature extraction, Task analysis, Computational modeling,
Optimization, Self-supervised learning, positional information
BibRef
Shenoy, J.[Jayanth],
Zhang, X.J.D.[Xing-Jian Davis],
Tao, B.[Bill],
Mehrotra, S.[Shlok],
Yang, R.[Rem],
Zhao, H.[Han],
Vasisht, D.[Deepak],
Self-Supervised Learning across the Spectrum,
RS(16), No. 18, 2024, pp. 3470.
DOI Link
2410
BibRef
Zheng, M.K.[Ming-Kai],
You, S.[Shan],
Wang, F.[Fei],
Qian, C.[Chen],
Zhang, C.S.[Chang-Shui],
Wang, X.G.[Xiao-Gang],
Xu, C.[Chang],
Weak Augmentation Guided Relational Self-Supervised Learning,
PAMI(46), No. 12, December 2024, pp. 8502-8516.
IEEE DOI
2411
Task analysis, Training, Clustering algorithms, Visualization,
Supervised learning, Representation learning, Memory management,
representation learning
BibRef
Gui, J.[Jie],
Chen, T.[Tuo],
Zhang, J.[Jing],
Cao, Q.[Qiong],
Sun, Z.A.[Zhen-An],
Luo, H.[Hao],
Tao, D.C.[Da-Cheng],
A Survey on Self-Supervised Learning: Algorithms, Applications, and
Future Trends,
PAMI(46), No. 12, December 2024, pp. 9052-9071.
IEEE DOI
2411
Survey, Self-Supervised Learning. Task analysis, Training, Reviews, Machine learning algorithms,
Supervised learning, Image recognition, Self-supervised learning,
transfer learning
BibRef
Huang, L.[Lei],
Ni, Y.H.[Yun-Hao],
Weng, X.[Xi],
Anwer, R.M.[Rao Muhammad],
Khan, S.[Salman],
Yang, M.H.[Ming-Hsuan],
Khan, F.S.[Fahad Shahbaz],
Understanding Whitening Loss in Self-Supervised Learning,
PAMI(46), No. 12, December 2024, pp. 9479-9492.
IEEE DOI
2411
Training, Task analysis, Vectors, Encoding, Covariance matrices,
Principal component analysis, Object detection, stable rank
BibRef
Lin, C.X.[Cheng-Xing],
Xu, W.J.[Wen-Ju],
Zhu, J.[Jian],
Nie, Y.W.[Yong-Wei],
Cai, R.[Ruichu],
Xu, X.[Xuemiao],
PatchMixing Masked Autoencoders for 3D Point Cloud Self-Supervised
Learning,
CirSysVideo(34), No. 10, October 2024, pp. 9882-9897.
IEEE DOI
2411
Point cloud compression, Feature extraction, Task analysis,
Image reconstruction, Transformers, Data mining,
teacher-student model
BibRef
Mei, J.P.[Jian-Ping],
Wang, S.X.[Shi-Xiang],
Yu, M.[Miaoqi],
Self-supervised learning from images:
No negative pairs, no cluster-balancing,
PR(159), 2025, pp. 111081.
Elsevier DOI
2412
Self-supervised learning, Non-contrastive, Image classification,
Self-derived targets, Unsupervised representation learning
BibRef
Feng, Z.Z.[Zhan-Zhou],
Zhang, S.L.[Shi-Liang],
Evolved Hierarchical Masking for Self-Supervised Learning,
PAMI(47), No. 2, February 2025, pp. 1013-1027.
IEEE DOI
2501
BibRef
Earlier:
Evolved Part Masking for Self-Supervised Learning,
CVPR23(10386-10395)
IEEE DOI
2309
Visualization, Training, Semantics, Self-supervised learning,
Semantic segmentation, Image classification,
model pretraining
BibRef
Qiang, W.W.[Wen-Wen],
Song, Z.[Zeen],
Gu, Z.Y.[Zi-Yin],
Li, J.M.[Jiang-Meng],
Zheng, C.W.[Chang-Wen],
Sun, F.C.[Fu-Chun],
Xiong, H.[Hui],
On the Generalization and Causal Explanation in Self-Supervised
Learning,
IJCV(133), No. 4, April 2025, pp. 1727-1754.
Springer DOI
2504
BibRef
Li, J.M.[Jiang-Meng],
Zang, Z.H.[Ze-Hua],
Ji, Q.R.[Qi-Rui],
Sun, C.X.[Chu-Xiong],
Qiang, W.W.[Wen-Wen],
Zhang, J.[Junge],
Zheng, C.W.[Chang-Wen],
Sun, F.C.[Fu-Chun],
Xiong, H.[Hui],
Rethinking Generalizability and Discriminability of Self-Supervised
Learning from Evolutionary Game Theory Perspective,
IJCV(133), No. 6, June 2025, pp. Psges 3542-3567.
Springer DOI Code:
WWW Link.
2505
BibRef
Nandam, S.R.[Srinivasa Rao],
Atito, S.[Sara],
Feng, Z.H.[Zhen-Hua],
Kittler, J.V.[Josef V.],
Awais, M.[Muhammad],
Investigating Self-Supervised Methods for Label-Efficient Learning,
IJCV(133), No. 7, July 2025, pp. 4522-4537.
Springer DOI
2506
BibRef
Earlier: A2, A5, A1, A4, Only:
GMML is All You Need,
ICIP23(2125-2129)
IEEE DOI Code:
WWW Link.
2312
Group Masked Model Learning. Self-Supervised.
BibRef
Tan, C.[Cheng],
Wang, J.[Jue],
Gao, Z.Y.[Zhang-Yang],
Li, S.Y.[Si-Yuan],
Li, S.Z.[Stan Z.],
USTEP: Spatio-Temporal Predictive Learning Under a Unified View,
PAMI(47), No. 8, August 2025, pp. 7064-7080.
IEEE DOI
2507
Computational modeling, Predictive models, Spatiotemporal phenomena
BibRef
Bafghi, R.A.[Reza Akbarian],
Harilal, N.[Nidhin],
Monteleoni, C.[Claire],
Raissi, M.[Maziar],
MixDiff: Mixing Natural and Synthetic Images for Robust
Self-Supervised Representations,
WACV25(7500-7511)
IEEE DOI Code:
WWW Link.
2505
Image quality, Visualization, Source coding, Self-supervised learning,
Image representation, Diffusion models, generative models
BibRef
Shalam, D.[Daniel],
Korman, S.[Simon],
Unsupervised Representation Learning by Balanced Self Attention
Matching,
ECCV24(LXXXIV: 269-285).
Springer DOI
2412
Code:
WWW Link.
BibRef
Simon, M.C.[Mathieu Cyrille],
Frossard, P.[Pascal],
de Vleeschouwer, C.[Christophe],
Sequential Representation Learning via Static-dynamic Conditional
Disentanglement,
ECCV24(LXXV: 110-126).
Springer DOI
2412
BibRef
Tripathi, A.[Aditay],
Shenoy, P.[Pradeep],
Chakraborty, A.[Anirban],
Dynamic Data Selection for Efficient SSL via Coarse-to-fine Refinement,
ECCV24(LVIII: 377-393).
Springer DOI
2412
BibRef
Wang, Y.[Yi],
Albrecht, C.M.[Conrad M.],
Braham, N.A.A.[Nassim Ait Ali],
Liu, C.Y.[Chen-Ying],
Xiong, Z.T.[Zhi-Tong],
Zhu, X.X.[Xiao Xiang],
Decoupling Common and Unique Representations for Multimodal
Self-supervised Learning,
ECCV24(XXIX: 286-303).
Springer DOI
2412
BibRef
Bourcier, J.[Jules],
Dashyan, G.[Gohar],
Alahari, K.[Karteek],
Chanussot, J.[Jocelyn],
Learning Representations of Satellite Images From Metadata Supervision,
ECCV24(XXVII: 54-71).
Springer DOI
2412
Code:
WWW Link. Using meta data.
BibRef
Hammoud, H.A.A.K.[Hasan Abed Al Kader],
Das, T.[Tuhin],
Pizzati, F.[Fabio],
Torr, P.H.S.[Philip H. S.],
Bibi, A.[Adel],
Ghanem, B.[Bernard],
On Pretraining Data Diversity for Self-supervised Learning,
ECCV24(LVI: 54-71).
Springer DOI
2412
BibRef
Shin, S.[Seokwon],
Do, H.[Hyungrok],
Son, Y.[Youngdoo],
Learning Representation for Multitask Learning Through Self-supervised
Auxiliary Learning,
ECCV24(LXXX: 241-258).
Springer DOI
2412
BibRef
Park, I.[Inhyuk],
Kim, S.[Sungeun],
Ryu, J.[Jongbin],
Generative Self-supervised Learning for Medical Image Classification,
ACCV24(II: 21-38).
Springer DOI
2412
BibRef
Skean, O.[Oscar],
Dhakal, A.[Aayush],
Jacobs, N.[Nathan],
Giraldo, L.G.S.[Luis Gonzalo Sanchez],
FROSSL: Frobenius Norm Minimization for Efficient Multiview
Self-supervised Learning,
ECCV24(LXXXIX: 69-85).
Springer DOI
2412
BibRef
Zheng, M.X.[Meng-Xin],
Xue, J.Q.[Jia-Qi],
Wang, Z.[Zihao],
Chen, X.[Xun],
Lou, Q.[Qian],
Jiang, L.[Lei],
Wang, X.F.[Xiao-Feng],
SSL-Cleanse: Trojan Detection and Mitigation in Self-supervised
Learning,
ECCV24(LXXXVII: 405-421).
Springer DOI
2412
BibRef
Hu, B.[Bo],
Bu, Y.H.[Yu-Heng],
Príncipe, J.C.[José C.],
Learning Orthonormal Features in Self-Supervised Learning using
Functional Maximal Correlation,
ICIP24(472-478)
IEEE DOI
2411
Correlation, Density measurement, Estimation,
Self-supervised learning, Feature extraction, Task analysis, Mutual information
BibRef
Song, W.[Wonil],
Sohn, K.H.[Kwang-Hoon],
Min, D.B.[Dong-Bo],
Improving Self-Supervised Vision Transformers for Visual Control,
ICIP24(1302-1308)
IEEE DOI
2411
Representation learning, Visualization, Inverse problems,
Computational modeling, Games, Reinforcement Learning,
Self-Supervised Learning
BibRef
Wang, J.H.[Jia-Hong],
Du, Y.W.[Yin-Wei],
Coros, S.[Stelian],
Thomaszewski, B.[Bernhard],
Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces,
CVPR24(23158-23167)
IEEE DOI
2410
Training, Accuracy, Energy resolution, Self-supervised learning,
Solids, Real-time systems, Physical simulation, Deformable models
BibRef
Yoshihashi, R.[Ryota],
Nishimura, S.[Shuhei],
Yonebayashi, D.[Dai],
Otsuka, Y.[Yuya],
Tanaka, T.[Tomohiro],
Miyazaki, T.[Takashi],
Ladder Siamese Network: A Method and Insights for Multi-Level
Self-Supervised Learning,
ICIP23(211-215)
IEEE DOI
2312
BibRef
Kim, Y.[Yeji],
Kong, B.S.[Bai-Sun],
Adding Distance Information to Self-Supervised Learning for rich
Representations,
ICIP23(1270-1274)
IEEE DOI
2312
BibRef
Mohamadi, S.[Salman],
Doretto, G.[Gianfranco],
Adjeroh, D.A.[Donald A.],
More Synergy, Less Redundancy: Exploiting Joint Mutual Information
for Self-Supervised Learning,
ICIP23(1390-1394)
IEEE DOI
2312
BibRef
Chattopadhyay, S.[Soumitri],
Ganguly, S.[Soham],
Chaudhury, S.[Sreejit],
Nag, S.[Sayan],
Chattopadhyay, S.[Samiran],
Exploring Self-Supervised Representation Learning for Low-Resource
Medical Image Analysis,
ICIP23(1440-1444)
IEEE DOI Code:
WWW Link.
2312
BibRef
Guo, J.M.[Jing-Ming],
Seshathiri, S.[Sankarasrinivasan],
Self-Supervised Learning for Scanned Halftone Classification with
Novel Augmentation Techniques,
ICIP23(2650-2654)
IEEE DOI
2312
BibRef
Chhipa, P.C.[Prakash Chandra],
Holmgren, J.R.[Johan Rodahl],
De, K.[Kanjar],
Saini, R.[Rajkumar],
Liwicki, M.[Marcus],
Can Self-Supervised Representation Learning Methods Withstand
Distribution Shifts and Corruptions?,
OutDistri23(4469-4478)
IEEE DOI
2401
BibRef
Chhipa, P.C.[Prakash Chandra],
Chopra, M.[Muskaan],
Mengi, G.[Gopal],
Gupta, V.[Varun],
Upadhyay, R.[Richa],
Chippa, M.S.[Meenakshi Subhash],
De, K.[Kanjar],
Saini, R.[Rajkumar],
Uchida, S.[Seiichi],
Liwicki, M.[Marcus],
Functional Knowledge Transfer with Self-supervised Representation
Learning,
ICIP23(3339-3343)
IEEE DOI
2312
BibRef
Huang, H.P.[Hsin-Ping],
Herrmann, C.[Charles],
Hur, J.[Junhwa],
Lu, E.[Erika],
Sargent, K.[Kyle],
Stone, A.[Austin],
Yang, M.H.[Ming-Hsuan],
Sun, D.Q.[De-Qing],
Self-supervised AutoFlow,
CVPR23(11412-11421)
IEEE DOI
2309
BibRef
Chen, W.H.[Wei-Hua],
Xu, X.Z.[Xian-Zhe],
Jia, J.[Jian],
Luo, H.[Hao],
Wang, Y.[Yaohua],
Wang, F.[Fan],
Jin, R.[Rong],
Sun, X.[Xiuyu],
Beyond Appearance: A Semantic Controllable Self-Supervised Learning
Framework for Human-Centric Visual Tasks,
CVPR23(15050-15061)
IEEE DOI
2309
BibRef
Assran, M.[Mahmoud],
Duval, Q.[Quentin],
Misra, I.[Ishan],
Bojanowski, P.[Piotr],
Vincent, P.[Pascal],
Rabbat, M.[Michael],
Le Cun, Y.L.[Yann L.],
Ballas, N.[Nicolas],
Self-Supervised Learning from Images with a Joint-Embedding
Predictive Architecture,
CVPR23(15619-15629)
IEEE DOI
2309
BibRef
Cao, Y.H.[Yun-Hao],
Sun, P.Q.[Pei-Qin],
Zhou, S.C.[Shu-Chang],
Three Guidelines You Should Know for Universally Slimmable
Self-Supervised Learning,
CVPR23(15742-15751)
IEEE DOI
2309
BibRef
Xiao, B.[Bin],
Hu, Y.[Yang],
Liu, B.[Bo],
Bi, X.L.[Xiu-Li],
Li, W.S.[Wei-Sheng],
Gao, X.B.[Xin-Bo],
DLBD: A Self-Supervised Direct-Learned Binary Descriptor,
CVPR23(15846-15855)
IEEE DOI
2309
BibRef
Zhang, Z.Y.[Zhuo-Yang],
Dong, Y.H.[Yu-Hao],
Liu, Y.Z.[Yun-Ze],
Yi, L.[Li],
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud
Sequence Representation Learning,
CVPR23(17661-17670)
IEEE DOI
2309
BibRef
Cao, D.L.[Dong-Liang],
Lähner, Z.[Zorah],
Bernard, F.[Florian],
Synchronous Diffusion for Unsupervised Smooth Non-rigid 3d Shape
Matching,
ECCV24(V: 262-281).
Springer DOI
2412
BibRef
Cao, D.L.[Dong-Liang],
Roetzer, P.[Paul],
Bernard, F.[Florian],
Revisiting Map Relations for Unsupervised Non-Rigid Shape Matching,
3DV24(1371-1381)
IEEE DOI
2408
BibRef
Earlier: A1, A3, Only:
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching,
CVPR23(17735-17744)
IEEE DOI
2309
Couplings, Art, Shape, Noise, Benchmark testing, Feature extraction.
BibRef
Ye, B.T.[Bo-Tao],
Liu, S.[Sifei],
Li, X.T.[Xue-Ting],
Yang, M.H.[Ming-Hsuan],
Self-Supervised Super-Plane for Neural 3D Reconstruction,
CVPR23(21415-21424)
IEEE DOI
2309
BibRef
Wang, R.[Ruoyu],
Yu, Z.[Zehao],
Gao, S.H.[Sheng-Hua],
PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes,
CVPR23(21425-21434)
IEEE DOI
2309
BibRef
Zhang, Z.K.[Ze-Kun],
Hoai, M.[Minh],
Object Detection with Self-Supervised Scene Adaptation,
CVPR23(21589-21599)
IEEE DOI
2309
BibRef
Lazard, T.[Tristan],
Lerousseau, M.[Marvin],
Decencière, E.[Etienne],
Walter, T.[Thomas],
Giga-SSL: Self-Supervised Learning for Gigapixel Images,
CVMI23(4305-4314)
IEEE DOI
2309
BibRef
Li, K.[Kai],
Wigington, C.[Curtis],
Tensmeyer, C.[Chris],
Morariu, V.I.[Vlad I.],
Zhao, H.[Handong],
Manjunatha, V.[Varun],
Barmpalios, N.[Nikolaos],
Fu, Y.[Yun],
Improving Cross-Domain Detection with Self-Supervised Learning,
L3D-IVU23(4746-4755)
IEEE DOI
2309
BibRef
Kordopatis-Zilos, G.[Giorgos],
Tolias, G.[Giorgos],
Tzelepis, C.[Christos],
Kompatsiaris, I.[Ioannis],
Patras, I.[Ioannis],
Papadopoulos, S.[Symeon],
Self-Supervised Video Similarity Learning,
L3D-IVU23(4756-4766)
IEEE DOI
2309
BibRef
Zhu, W.T.[Wen-Tao],
Liu, J.Y.[Jing-Ya],
Huang, Y.F.[Yu-Fang],
HNSSL: Hard Negative-Based Self-Supervised Learning,
L3D-IVU23(4778-4787)
IEEE DOI
2309
BibRef
Fini, E.[Enrico],
Astolfi, P.[Pietro],
Alahari, K.[Karteek],
Alameda-Pineda, X.[Xavier],
Mairal, J.[Julien],
Nabi, M.[Moin],
Ricci, E.[Elisa],
Semi-supervised learning made simple with self-supervised clustering,
CVPR23(3187-3197)
IEEE DOI
2309
BibRef
Agaram, R.[Rohith],
Dewan, S.[Shaurya],
Sajnani, R.[Rahul],
Poulenard, A.[Adrien],
Krishna, M.[Madhava],
Sridhar, S.[Srinath],
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized
Neural Fields,
CVPR23(4500-4510)
IEEE DOI
2309
BibRef
Tran, B.[Bach],
Hua, B.S.[Binh-Son],
Tran, A.T.[Anh Tuan],
Hoai, M.[Minh],
Self-supervised Learning with Multi-view Rendering for 3d Point Cloud
Analysis,
ACCV22(I:413-431).
Springer DOI
2307
BibRef
Lialin, V.[Vladislav],
Rawls, S.[Stephen],
Chan, D.[David],
Ghosh, S.[Shalini],
Rumshisky, A.[Anna],
Hamza, W.[Wael],
Scalable and Accurate Self-supervised Multimodal Representation
Learning without Aligned Video and Text Data,
Pretrain23(390-400)
IEEE DOI
2302
Training, Representation learning, Adaptation models,
Visualization, Neural networks, Optimized production technology
BibRef
Mohamadi, S.[Salman],
Doretto, G.[Gianfranco],
Adjeroh, D.A.[Donald A.],
FUSSL: Fuzzy Uncertain Self Supervised Learning,
WACV23(2798-2807)
IEEE DOI
2302
Training, Representation learning, Protocols, Uncertainty,
Annotations, Redundancy, Self-supervised learning, visual reasoning
BibRef
Koçyigit, M.T.[Mustafa Taha],
Hospedales, T.M.[Timothy M.],
Bilen, H.[Hakan],
Accelerating Self-Supervised Learning via Efficient Training
Strategies,
WACV23(5643-5653)
IEEE DOI
2302
Training, Schedules, Visualization, Costs, Self-supervised learning,
Transformers, Algorithms: Machine learning architectures,
visual reasoning
BibRef
Yang, H.Y.[Hua-Yi],
Wang, D.Q.[De-Qing],
Zhao, Z.Y.[Zheng-Yang],
Wang, X.Y.[Xu-Ying],
SSL-DC: Improving Transduxctive Few-Shot Learning via Self-Supervised
Learning and Distribution Calibration,
ICPR22(4892-4898)
IEEE DOI
2212
Training, Art, Prototypes, Self-supervised learning,
Gaussian distribution, Generative adversarial networks, Calibration
BibRef
Huang, Y.H.[Yue-Hong],
Tseng, Y.C.[Yu-Chee],
A Self-Supervised Solution for the Switch-Toggling Visual Task,
ICPR22(3429-3435)
IEEE DOI
2212
Training, Visualization, Switches, Self-supervised learning,
Reinforcement learning, Cognition
BibRef
Liu, H.T.[Hao-Tian],
Cai, M.[Mu],
Lee, Y.J.[Yong Jae],
Masked Discrimination for Self-supervised Learning on Point Clouds,
ECCV22(II:657-675).
Springer DOI
2211
BibRef
Thoker, F.M.[Fida Mohammad],
Doughty, H.[Hazel],
Bagad, P.[Piyush],
Snoek, C.G.M.[Cees G.M.],
How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning?,
ECCV22(XXXIV:632-652).
Springer DOI
2211
WWW Link. Analyze self-supervised learning.
BibRef
Prabhu, S.M.[Sahana M.],
Katta, J.Y.[Jitendra Y.],
Kale, A.A.[Amit A.],
Self-Supervised Learning for Texture Classification Using Limited
Labeled Data,
ICIP22(1416-1420)
IEEE DOI
2211
Representation learning, Visualization, Training data,
Self-supervised learning, Performance gain, Data models
BibRef
Amrani, E.[Elad],
Karlinsky, L.[Leonid],
Bronstein, A.[Alex],
Self-Supervised Classification Network,
ECCV22(XXXI:116-132).
Springer DOI
2211
BibRef
Moon, W.J.[Won-Jun],
Kim, J.H.[Ji-Hwan],
Heo, J.P.[Jae-Pil],
Tailoring Self-Supervision for Supervised Learning,
ECCV22(XXV:346-364).
Springer DOI
2211
BibRef
Quan, Y.H.[Yu-Hui],
Qin, X.R.[Xin-Ran],
Pang, T.Y.[Tong-Yao],
Ji, H.[Hui],
Dual-Domain Self-supervised Learning and Model Adaption for Deep
Compressive Imaging,
ECCV22(XXX:409-426).
Springer DOI
2211
BibRef
Peri, R.[Raghuveer],
Parthasarathy, S.[Srinivas],
Sundaram, S.[Shiva],
Scene Representation Learning from Videos Using Self-Supervised and
Weakly-Supervised Techniques,
ICIP22(1671-1675)
IEEE DOI
2211
Training, Representation learning, Image analysis,
Image recognition, Filtering, Image representation, self-supervised
BibRef
Addepalli, S.[Sravanti],
Bhogale, K.[Kaushal],
Dey, P.[Priyam],
Babu, R.V.[R. Venkatesh],
Towards Efficient and Effective Self-supervised Learning of Visual
Representations,
ECCV22(XXXI:523-538).
Springer DOI
2211
BibRef
Akiva, P.[Peri],
Purri, M.[Matthew],
Leotta, M.[Matthew],
Self-Supervised Material and Texture Representation Learning for
Remote Sensing Tasks,
CVPR22(8193-8205)
IEEE DOI
2210
Representation learning, Satellites, Semantics, Transfer learning,
Self-supervised learning, Surface texture, Task analysis,
Photogrammetry and remote sensing
BibRef
Du, Y.L.[Yi-Lun],
Gan, C.[Chuang],
Isola, P.[Phillip],
Curious Representation Learning for Embodied Intelligence,
ICCV21(10388-10397)
IEEE DOI
2203
Representation learning, Visualization, Navigation, Semantics,
Reinforcement learning, Internet, Representation learning,
BibRef
Zhou, H.Y.[Hong-Yu],
Lu, C.X.[Chi-Xiang],
Yang, S.[Sibei],
Han, X.G.[Xiao-Guang],
Yu, Y.Z.[Yi-Zhou],
Preservational Learning Improves Self-supervised Medical Image Models
by Reconstructing Diverse Contexts,
ICCV21(3479-3489)
IEEE DOI
2203
WWW Link. Representation learning, Protocols, Codes, Computational modeling,
Estimation, Task analysis, Medical, biological, and cell microscopy,
BibRef
Huang, S.Y.[Si-Yuan],
Xie, Y.C.[Yi-Chen],
Zhu, S.C.[Song-Chun],
Zhu, Y.X.[Yi-Xin],
Spatio-temporal Self-Supervised Representation Learning for 3D Point
Clouds,
ICCV21(6515-6525)
IEEE DOI
2203
Point cloud compression, Representation learning, Training,
Solid modeling, Visualization, Supervised learning, Stereo,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Hu, K.[Kai],
Shao, J.[Jie],
Liu, Y.[Yuan],
Raj, B.[Bhiksha],
Savvides, M.[Marios],
Shen, Z.Q.[Zhi-Qiang],
Contrast and Order Representations for Video Self-Supervised Learning,
ICCV21(7919-7929)
IEEE DOI
2203
Representation learning, Computational modeling,
Predictive models, Task analysis, Videos, Representation learning
BibRef
Qian, R.[Rui],
Ding, S.R.[Shuang-Rui],
Liu, X.[Xian],
Lin, D.[Dahua],
Static and Dynamic Concepts for Self-Supervised Video Representation
Learning,
ECCV22(XXVI:145-164).
Springer DOI
2211
BibRef
Qian, R.[Rui],
Li, Y.X.[Yu-Xi],
Liu, H.B.[Hua-Bin],
See, J.[John],
Ding, S.R.[Shuang-Rui],
Liu, X.[Xian],
Li, D.[Dian],
Lin, W.Y.[Wei-Yao],
Enhancing Self-supervised Video Representation Learning via
Multi-level Feature Optimization,
ICCV21(7970-7981)
IEEE DOI
2203
Representation learning, Codes, Computational modeling, Semantics,
Reliability, Task analysis, Video analysis and understanding,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Wang, G.[Guangrun],
Wang, K.[Keze],
Wang, G.[Guangcong],
Torr, P.H.S.[Philip H.S.],
Lin, L.[Liang],
Solving Inefficiency of Self-supervised Representation Learning,
ICCV21(9485-9495)
IEEE DOI
2203
Training, Representation learning, Computational modeling,
Supervised learning, Benchmark testing, Task analysis,
Representation learning
BibRef
Patrick, M.[Mandela],
Asano, Y.M.[Yuki M.],
Kuznetsova, P.[Polina],
Fong, R.[Ruth],
Henriques, J.F.[João F.],
Zweig, G.[Geoffrey],
Vedaldi, A.[Andrea],
On Compositions of Transformations in Contrastive Self-Supervised
Learning,
ICCV21(9557-9567)
IEEE DOI
2203
Codes, Benchmark testing, Encoding, Standards, Videos,
Representation learning, Vision + other modalities
BibRef
Hua, T.Y.[Tian-Yu],
Wang, W.X.[Wen-Xiao],
Xue, Z.H.[Zi-Hui],
Ren, S.[Sucheng],
Wang, Y.[Yue],
Zhao, H.[Hang],
On Feature Decorrelation in Self-Supervised Learning,
ICCV21(9578-9588)
IEEE DOI
2203
Representation learning, Correlation, Robustness, Decorrelation,
Covariance matrices, Representation learning,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Kotar, K.[Klemen],
Ilharco, G.[Gabriel],
Schmidt, L.[Ludwig],
Ehsani, K.[Kiana],
Mottaghi, R.[Roozbeh],
Contrasting Contrastive Self-Supervised Representation Learning
Pipelines,
ICCV21(9929-9939)
IEEE DOI
2203
Representation learning, Training, Visualization, Pipelines,
Benchmark testing, Data models, Representation learning,
BibRef
Tian, Y.L.[Yong-Long],
Fan, L.J.[Li-Jie],
Chen, K.F.[Kai-Feng],
Katabi, D.[Dina],
Krishnan, D.[Dilip],
Isola, P.[Phillip],
Learning Vision from Models Rivals Learning Vision from Data,
CVPR24(15887-15898)
IEEE DOI
2410
Representation learning, Visualization, Semantic segmentation,
Computational modeling, Text to image, Contrastive learning
BibRef
Tian, Y.L.[Yong-Long],
Hénaff, O.J.[Olivier J.],
van den Oord, A.[Aäron],
Divide and Contrast: Self-supervised Learning from Uncurated Data,
ICCV21(10043-10054)
IEEE DOI
2203
Annotations, Benchmark testing, Data mining, Task analysis,
Representation learning, Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Koohpayegani, S.A.[Soroush Abbasi],
Tejankar, A.[Ajinkya],
Pirsiavash, H.[Hamed],
Mean Shift for Self-Supervised Learning,
ICCV21(10306-10315)
IEEE DOI
2203
Codes, Clustering algorithms, Task analysis,
Residual neural networks, Representation learning,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Gavrilyuk, K.[Kirill],
Jain, M.[Mihir],
Karmanov, I.[Ilia],
Snoek, C.G.M.[Cees G. M.],
Motion-Augmented Self-Training for Video Recognition at Smaller Scale,
ICCV21(10409-10418)
IEEE DOI
2203
Training, Optical losses, Knowledge engineering,
Computational modeling, Semisupervised learning,
Action and behavior recognition
BibRef
Pantazis, O.[Omiros],
Brostow, G.J.[Gabriel J.],
Jones, K.E.[Kate E.],
Aodha, O.M.[Oisin Mac],
Focus on the Positives:
Self-Supervised Learning for Biodiversity Monitoring,
ICCV21(10563-10572)
IEEE DOI
2203
Training, Visualization, Transfer learning, Benchmark testing,
Cameras, Biodiversity, Representation learning, Medical, biological,
Recognition and classification
BibRef
Mazumder, P.[Pratik],
Singh, P.[Pravendra],
Namboodiri, V.P.[Vinay P.],
Fair Visual Recognition in Limited Data Regime using Self-Supervision
and Self-Distillation,
WACV22(3889-3897)
IEEE DOI
2202
Training, Deep learning, Adaptation models, Visualization,
Computational modeling, Training data,
Privacy and Ethics in Vision
BibRef
Zheltonozhskii, E.[Evgenii],
Baskin, C.[Chaim],
Mendelson, A.[Avi],
Bronstein, A.M.[Alex M.],
Litany, O.[Or],
Contrast to Divide: Self-Supervised Pre-Training for Learning with
Noisy Labels,
WACV22(387-397)
IEEE DOI
2202
Training, Upper bound, Neural networks,
Semisupervised learning, Feature extraction, Robustness, Transfer,
Large-scale Vision Applications
BibRef
Reed, C.J.[Colorado J.],
Yue, X.Y.[Xiang-Yu],
Nrusimha, A.[Ani],
Ebrahimi, S.[Sayna],
Vijaykumar, V.[Vivek],
Mao, R.[Richard],
Li, B.[Bo],
Zhang, S.H.[Shang-Hang],
Guillory, D.[Devin],
Metzger, S.[Sean],
Keutzer, K.[Kurt],
Darrell, T.J.[Trevor J.],
Self-Supervised Pretraining Improves Self-Supervised Pretraining,
WACV22(1050-1060)
IEEE DOI
2202
Computational modeling, Data models, Robustness,
Task analysis, X-ray imaging, Convergence, Transfer, Few-shot,
Vision for Aerial/Drone/Underwater/Ground Vehicles
BibRef
Zhang, Z.[Zehua],
Crandall, D.[David],
Hierarchically Decoupled Spatial-Temporal Contrast for
Self-supervised Video Representation Learning,
WACV22(975-985)
IEEE DOI
2202
Representation learning, Deep learning, Codes,
Semantics, Supervised learning, Benchmark testing, Transfer,
Analysis and Understanding
BibRef
Huynh, T.[Tri],
Kornblith, S.[Simon],
Walter, M.R.[Matthew R.],
Maire, M.[Michael],
Khademi, M.[Maryam],
Boosting Contrastive Self-Supervised Learning with False Negative
Cancellation,
WACV22(986-996)
IEEE DOI
2202
Representation learning, Visualization, Codes,
Computational modeling, Semantics, Boosting, Transfer, Few-shot,
Semi- and Un- supervised Learning Deep Learning
BibRef
Yamaguchi, S.[Shin'ya],
Kanai, S.[Sekitoshi],
Shioda, T.[Tetsuya],
Takeda, S.[Shoichiro],
Image Enhanced Rotation Prediction for Self-Supervised Learning,
ICIP21(489-493)
IEEE DOI
2201
Shape, Predictive models, Network architecture, Benchmark testing,
Task analysis, Image enhancement, Self-supervised learning, CNN
BibRef
Selvaraju, R.R.[Ramprasaath R.],
Desai, K.[Karan],
Johnson, J.[Justin],
Naik, N.[Nikhil],
CASTing Your Model:
Learning to Localize Improves Self-Supervised Representations,
CVPR21(11053-11062)
IEEE DOI
2111
Visualization, Correlation, Codes, Grounding, Crops, Robustness
BibRef
Gudovskiy, D.,
Hodgkinson, A.,
Yamaguchi, T.,
Tsukizawa, S.,
Deep Active Learning for Biased Datasets via Fisher Kernel
Self-Supervision,
CVPR20(9038-9046)
IEEE DOI
2008
Task analysis, Training, Kernel, Labeling, Artificial intelligence,
Data models, Training data
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Self-Supervised Learning for Object Detection and Segmentation .