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Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

5 May 2018
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
    SSL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

50 / 1,940 papers shown
Title
Learning Visual Representations via Language-Guided Sampling
Learning Visual Representations via Language-Guided Sampling
Mohamed El Banani
Karan Desai
Justin Johnson
SSLVLM
124
28
0
23 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
Jikang Cheng
TTA
138
110
0
23 Feb 2023
ACE: Zero-Shot Image to Image Translation via Pretrained
  Auto-Contrastive-Encoder
ACE: Zero-Shot Image to Image Translation via Pretrained Auto-Contrastive-Encoder
Sihan Xu
Zelong Jiang
Ruisi Liu
Kai-Lin Yang
Zhijie Huang
VLM
72
1
0
22 Feb 2023
Saliency Guided Contrastive Learning on Scene Images
Saliency Guided Contrastive Learning on Scene Images
Meilin Chen
Yizhou Wang
Shixiang Tang
Feng Zhu
Haiyang Yang
Lei Bai
Rui Zhao
Donglian Qi
Wanli Ouyang
SSL
88
1
0
22 Feb 2023
DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action
  Recognition
DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition
S. Guan
Xin-Yi Yu
Wei Huang
Gengfa Fang
Haiyan Lu
89
6
0
22 Feb 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and
  Anatomy-specific Representation for 3D Medical Images
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images
K. Yu
Li Sun
Junxiang Chen
Maxwell Reynolds
Tigmanshu Chaudhary
Kayhan Batmanghelich
92
1
0
21 Feb 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of
  Self-Supervision, Reconstruction, Projector Head
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
Randall Balestriero
95
3
0
20 Feb 2023
Neural Algorithmic Reasoning with Causal Regularisation
Neural Algorithmic Reasoning with Causal Regularisation
Beatrice Bevilacqua
Kyriacos Nikiforou
Borja Ibarz
Ioana Bica
Michela Paganini
Charles Blundell
Jovana Mitrović
Petar Velivcković
OODCMLNAI
106
27
0
20 Feb 2023
Adversarial Contrastive Distillation with Adaptive Denoising
Adversarial Contrastive Distillation with Adaptive Denoising
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Yang Liu
Siao Liu
Wenqiang Zhang
Lizhe Qi
97
22
0
17 Feb 2023
Find Beauty in the Rare: Contrastive Composition Feature Clustering for
  Nontrivial Cropping Box Regression
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
Zhiyu Pan
Yinpeng Chen
Jiale Zhang
Hao Lu
Zhiguo Cao
Weicai Zhong
CoGe
74
5
0
17 Feb 2023
Audio-Visual Contrastive Learning with Temporal Self-Supervision
Audio-Visual Contrastive Learning with Temporal Self-Supervision
Simon Jenni
Alexander Black
John Collomosse
SSL
82
16
0
15 Feb 2023
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image
  Retrieval
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
Xu Wang
Dezhong Peng
Ming Yan
Peng Hu
89
19
0
13 Feb 2023
Multispectral Contrastive Learning with Viewmaker Networks
Multispectral Contrastive Learning with Viewmaker Networks
Jasmine Bayrooti
Noah D. Goodman
Alex Tamkin
74
1
0
11 Feb 2023
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a
  Queue
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue
Thomas Mulc
Debidatta Dwibedi
SSL
28
0
0
10 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
133
29
0
10 Feb 2023
SimCGNN: Simple Contrastive Graph Neural Network for Session-based
  Recommendation
SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
Yuan Cao
Xudong Zhang
Fan Zhang
Feifei Kou
Josiah Poon
Xiongnan Jin
Yongheng Wang
Jinpeng Chen
21
2
0
08 Feb 2023
Multi-view Feature Extraction based on Dual Contrastive Head
Multi-view Feature Extraction based on Dual Contrastive Head
Hongjie Zhang
57
1
0
08 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Xiu-Shen Wei
Xuhao Sun
Yang Shen
Anqi Xu
Peng Wang
Faen Zhang
93
1
0
07 Feb 2023
Evaluating Self-Supervised Learning via Risk Decomposition
Evaluating Self-Supervised Learning via Risk Decomposition
Yann Dubois
Tatsunori Hashimoto
Percy Liang
77
9
0
06 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi
Runpei Dong
Guo Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Li Yi
154
131
0
05 Feb 2023
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for
  Semi-Supervised Skeleton-based Action Recognition
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition
Binqian Xu
Xiangbo Shu
89
58
0
05 Feb 2023
MOMA:Distill from Self-Supervised Teachers
MOMA:Distill from Self-Supervised Teachers
Yuan Yao
Nandakishor Desai
M. Palaniswami
103
2
0
04 Feb 2023
Self-Supervised In-Domain Representation Learning for Remote Sensing
  Image Scene Classification
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification
Ali Ghanbarzade
Hossein Soleimani
SSL
58
11
0
03 Feb 2023
Contrastive Learning with Consistent Representations
Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
92
5
0
03 Feb 2023
Hyperbolic Contrastive Learning
Hyperbolic Contrastive Learning
Yun Yue
Fangzhou Lin
Kazunori D Yamada
Ziming Zhang
SSL
133
21
0
02 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models
Energy-Inspired Self-Supervised Pretraining for Vision Models
Ze Wang
Jiang Wang
Zicheng Liu
Qiang Qiu
61
8
0
02 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Jiaxiang Dong
Haixu Wu
Haoran Zhang
Li Zhang
Jianmin Wang
Mingsheng Long
AI4TS
142
94
0
02 Feb 2023
Leveraging Task Dependency and Contrastive Learning for Case Outcome
  Classification on European Court of Human Rights Cases
Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases
Santosh T.Y.S.S
Santosh T.Y.S.S
Phillip Kemper
Matthias Grabmair
AILaw
125
14
0
01 Feb 2023
Adversarial Training of Self-supervised Monocular Depth Estimation
  against Physical-World Attacks
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng
James Liang
Guanhong Tao
Dongfang Liu
Xiangyu Zhang
105
22
0
31 Jan 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive
  Learning
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
106
9
0
31 Jan 2023
The Influences of Color and Shape Features in Visual Contrastive
  Learning
The Influences of Color and Shape Features in Visual Contrastive Learning
Xiao-qiong Zhuang
SSL
63
0
0
29 Jan 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
94
53
0
28 Jan 2023
Deciphering the Projection Head: Representation Evaluation
  Self-supervised Learning
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
Jiajun Ma
Tianyang Hu
Wei Cao
81
8
0
28 Jan 2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Cheng Ji
Jianxin Li
Hao Peng
Hongzhi Zhang
Xingcheng Fu
Qingyun Sun
Phillip S. Yu
SSLCLL
59
5
0
28 Jan 2023
Bayesian Self-Supervised Contrastive Learning
Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSLBDL
96
4
0
27 Jan 2023
Skeleton-based Action Recognition through Contrasting Two-Stream
  Spatial-Temporal Networks
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks
Chen Pang
Xuequan Lu
Lei Lyu
95
22
0
27 Jan 2023
Cross-domain recommendation via user interest alignment
Cross-domain recommendation via user interest alignment
Chuang Zhao
Hongke Zhao
Ming He
Jian Zhang
Jianping Fan
81
75
0
26 Jan 2023
Cut and Learn for Unsupervised Object Detection and Instance
  Segmentation
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Xudong Wang
Rohit Girdhar
Stella X. Yu
Ishan Misra
VLM
131
173
0
26 Jan 2023
Graph Contrastive Learning for Skeleton-based Action Recognition
Graph Contrastive Learning for Skeleton-based Action Recognition
Xiaohui Huang
Hao Zhou
Jian Wang
Haocheng Feng
Junyu Han
Errui Ding
Jingdong Wang
Xinggang Wang
Wenyu Liu
Bin Feng
74
19
0
26 Jan 2023
Unifying Synergies between Self-supervised Learning and Dynamic
  Computation
Unifying Synergies between Self-supervised Learning and Dynamic Computation
Tarun Krishna
Ayush K. Rai
Alexandru Drimbarean
Eric Arazo
Paul Albert
Alan F. Smeaton
Kevin McGuinness
Noel E. O'Connor
89
0
0
22 Jan 2023
Towards Robust Video Instance Segmentation with Temporal-Aware
  Transformer
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer
Zhenghao Zhang
Fang Shao
Zuozhuo Dai
Siyu Zhu
ViT
49
1
0
20 Jan 2023
Self-Supervised Learning from Images with a Joint-Embedding Predictive
  Architecture
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Mahmoud Assran
Quentin Duval
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Yann LeCun
Nicolas Ballas
SSLAI4TSMDE
147
364
0
19 Jan 2023
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud
  Segmentation Networks With Image Data
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data
A. Janda
Brandon Wagstaff
Edwin G. Ng
J. Kelly
3DPC
67
3
0
18 Jan 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
86
5
0
17 Jan 2023
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning
  Method
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method
Xiangwei Wang
Rui Han
Chi Harold Liu
CLL
49
0
0
17 Jan 2023
CrysGNN : Distilling pre-trained knowledge to enhance property
  prediction for crystalline materials
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials
Kishalay Das
Bidisha Samanta
Pawan Goyal
Seung-Cheol Lee
S. Bhattacharjee
Niloy Ganguly
58
18
0
14 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
232
161
0
13 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Yinghao Xu
Yujun Shen
Jiapeng Zhu
Ceyuan Yang
Bolei Zhou
79
2
0
12 Jan 2023
Self-Supervised Image-to-Point Distillation via Semantically Tolerant
  Contrastive Loss
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
Anas Mahmoud
Jordan S. K. Hu
Tianshu Kuai
Ali Harakeh
Liam Paull
Steven L. Waslander
3DPCSSL
87
29
0
12 Jan 2023
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval
Manh-Duy Nguyen
Binh T. Nguyen
C. Gurrin
VLM
56
5
0
11 Jan 2023
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