Hu, X.[Xiang],
Li, T.[Teng],
Zhou, T.[Tong],
Peng, Y.X.[Yuan-Xi],
Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images
Based on Contrastive Learning,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Hassanin, M.[Mohammed],
Radwan, I.[Ibrahim],
Khan, S.[Salman],
Tahtali, M.[Murat],
Learning discriminative representations for multi-label image
recognition,
JVCIR(83), 2022, pp. 103448.
Elsevier DOI
2202
Multi-label recognition, Multi-label-contrastive learning,
Contrastive representation, Deep learning
BibRef
Dave, I.[Ishan],
Gupta, R.[Rohit],
Rizve, M.N.[Mamshad Nayeem],
Shah, M.[Mubarak],
TCLR: Temporal contrastive learning for video representation,
CVIU(219), 2022, pp. 103406.
Elsevier DOI
2205
Self-Supervised Learning, Action Recognition, Video Representation
BibRef
Zheng, M.K.[Ming-Kai],
Wang, F.[Fei],
You, S.[Shan],
Qian, C.[Chen],
Zhang, C.S.[Chang-Shui],
Wang, X.G.[Xiao-Gang],
Xu, C.[Chang],
Weakly Supervised Contrastive Learning,
ICCV21(10022-10031)
IEEE DOI
2203
Representation learning, Visualization, Head, Transfer learning,
Semisupervised learning, Labeling, Representation learning,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Diba, A.[Ali],
Sharma, V.[Vivek],
Safdari, R.[Reza],
Lotfi, D.[Dariush],
Sarfraz, M.S.[M. Saquib],
Stiefelhagen, R.[Rainer],
Van Gool, L.J.[Luc J.],
Vi2CLR: Video and Image for Visual Contrastive Learning of
Representation,
ICCV21(1482-1492)
IEEE DOI
2203
Representation learning, Visualization, Image recognition,
Pipelines, Transfer learning, Supervised learning,
Representation learning
BibRef
Zhong, Z.[Zhun],
Fini, E.[Enrico],
Roy, S.[Subhankar],
Luo, Z.M.[Zhi-Ming],
Ricci, E.[Elisa],
Sebe, N.[Nicu],
Neighborhood Contrastive Learning for Novel Class Discovery,
CVPR21(10862-10870)
IEEE DOI
2111
Aggregates, Feature extraction,
Pattern recognition, Task analysis
BibRef
Kodama, Y.[Yuto],
Wang, Y.[Yinan],
Kawakami, R.[Rei],
Naemura, T.[Takeshi],
Open-set Recognition with Supervised Contrastive Learning,
MVA21(1-5)
DOI Link
2109
Training, Computer aided instruction,
Training data, Feature extraction, Extraterrestrial measurements, Task analysis
BibRef
Ghosh, A.[Aritra],
Lan, A.[Andrew],
Contrastive Learning Improves Model Robustness Under Label Noise,
LLID21(2697-2702)
IEEE DOI
2109
Training, Visualization, Training data,
Semisupervised learning, Robustness, Pattern recognition
BibRef
Rai, N.[Nishant],
Adeli, E.[Ehsan],
Lee, K.H.[Kuan-Hui],
Gaidon, A.[Adrien],
Niebles, J.C.[Juan Carlos],
CoCon: Cooperative-Contrastive Learning,
HVU21(3379-3388)
IEEE DOI
2109
Visualization, Semantics, Performance gain,
Pattern recognition, Noise measurement, Labeling
BibRef
Xie, E.[Enze],
Ding, J.[Jian],
Wang, W.H.[Wen-Hai],
Zhan, X.H.[Xiao-Hang],
Xu, H.[Hang],
Sun, P.[Peize],
Li, Z.G.[Zhen-Guo],
Luo, P.[Ping],
DetCo: Unsupervised Contrastive Learning for Object Detection,
ICCV21(8372-8381)
IEEE DOI
2203
Object detection, Detectors, Feature extraction, Task analysis,
Image classification, Detection and localization in 2D and 3D
BibRef
Wang, X.L.[Xin-Long],
Zhang, R.F.[Ru-Feng],
Shen, C.H.[Chun-Hua],
Kong, T.[Tao],
Li, L.[Lei],
Dense Contrastive Learning for Self-Supervised Visual Pre-Training,
CVPR21(3023-3032)
IEEE DOI
2111
Learning systems, Image segmentation,
Visualization, Computational modeling, Semantics, Object detection
BibRef
Wang, P.[Peng],
Han, K.[Kai],
Wei, X.S.[Xiu-Shen],
Zhang, L.[Lei],
Wang, L.[Lei],
Contrastive Learning based Hybrid Networks for Long-Tailed Image
Classification,
CVPR21(943-952)
IEEE DOI
2111
Network structure being composed of a supervised contrastive loss to
learn image representations and a cross-entropy loss to learn
classifiers.
Training, Memory management,
Graphics processing units, Image representation, Proposals
BibRef
Kuang, H.F.[Hao-Fei],
Zhu, Y.[Yi],
Zhang, Z.[Zhi],
Li, X.Y.[Xin-Yu],
Tighe, J.[Joseph],
Schwertfeger, S.[Sören],
Stachniss, C.[Cyrill],
Li, M.[Mu],
Video Contrastive Learning with Global Context,
CVEU21(3188-3188)
IEEE DOI
2112
Training, Location awareness, Learning systems, Visualization,
Conferences
BibRef
Lee, K.S.[Kwot Sin],
Tran, N.T.[Ngoc-Trung],
Cheung, N.M.[Ngai-Man],
InfoMax-GAN: Improved Adversarial Image Generation via Information
Maximization and Contrastive Learning,
WACV21(3941-3951)
IEEE DOI
2106
Training, Image synthesis, Generative adversarial networks,
Reproducibility of results, Libraries, Generators, Tuning
BibRef
Shao, H.[Huan],
Yuan, Z.Q.[Zhao-Quan],
Peng, X.[Xiao],
Wu, X.[Xiao],
Contrastive Learning in Frequency Domain for Non-I.I.D. Image
Classification,
MMMod21(I:111-122).
Springer DOI
2106
Not Independent and Identically Distributed.
BibRef
Zhu, R.[Rui],
Zhao, B.C.[Bing-Chen],
Liu, J.G.[Jin-Gen],
Sun, Z.L.[Zheng-Long],
Chen, C.W.[Chang Wen],
Improving Contrastive Learning by Visualizing Feature Transformation,
ICCV21(10286-10295)
IEEE DOI
2203
Contrastive learning, which aims at minimizing the distance between
positive pairs while maximizing that of negative ones.
Training, Representation learning, Interpolation, Extrapolation,
Visualization, Computational modeling, Representation learning,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Yüksel, O.K.[Oguz Kaan],
Simsar, E.[Enis],
Er, E.G.[Ezgi Gülperi],
Yanardag, P.[Pinar],
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery
of Interpretable Directions,
ICCV21(14243-14252)
IEEE DOI
2203
Image synthesis, Annotations, Computational modeling, Semantics,
Manuals, Aerospace electronics, Image and video synthesis,
Neural generative models
BibRef
Kinakh, V.[Vitaliy],
Taran, O.[Olga],
Voloshynovskiy, S.[Svyatoslav],
ScatSimCLR: Self-Supervised Contrastive Learning with Pretext Task
Regularization for Small-Scale Datasets,
VIPriors21(1098-1106)
IEEE DOI
2112
Training, Adaptation models, Computational modeling, Estimation
BibRef
Dwibedi, D.[Debidatta],
Aytar, Y.[Yusuf],
Tompson, J.[Jonathan],
Sermanet, P.[Pierre],
Zisserman, A.[Andrew],
With a Little Help from My Friends: Nearest-Neighbor Contrastive
Learning of Visual Representations,
ICCV21(9568-9577)
IEEE DOI
2203
Training, Visualization, Protocols, Transfer learning,
Supervised learning, Semantics, Representation learning,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Cui, J.Q.[Jie-Quan],
Zhong, Z.S.[Zhi-Sheng],
Liu, S.[Shu],
Yu, B.[Bei],
Jia, J.Y.[Jia-Ya],
Parametric Contrastive Learning,
ICCV21(695-704)
IEEE DOI
2203
Adaptation models, Image recognition, Codes, Benchmark testing,
Optimization, Recognition and classification, Representation learning
BibRef
Islam, A.[Ashraful],
Chen, C.F.[Chun-Fu],
Panda, R.[Rameswar],
Karlinsky, L.[Leonid],
Radke, R.[Richard],
Feris, R.[Rogerio],
A Broad Study on the Transferability of Visual Representations with
Contrastive Learning,
ICCV21(8825-8835)
IEEE DOI
2203
Representation learning, Visualization, Adaptation models,
Analytical models, Computational modeling, Transfer learning,
Representation learning
BibRef
Wang, J.[Jin],
Jiang, B.[Bo],
Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs,
GSP-CV21(885-892)
IEEE DOI
2112
Knowledge engineering, Learning systems,
Correlation, Semantics, Benchmark testing
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Multiple Kernel Learning, MKL .