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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
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic
  Contrastive Learning
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
Xiaobao Wu
Anh Tuan Luu
Xinshuai Dong
122
45
0
23 Nov 2022
Transformer Based Multi-Grained Features for Unsupervised Person
  Re-Identification
Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification
Jiacheng Li
Menglin Wang
Xiaojin Gong
ViT
85
19
0
22 Nov 2022
Confidence-guided Centroids for Unsupervised Person Re-Identification
Confidence-guided Centroids for Unsupervised Person Re-Identification
Yunqi Miao
Jiankang Deng
Guiguang Ding
Jungong Han
84
3
0
22 Nov 2022
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data
A. Janda
Brandon Wagstaff
Edwin G. Ng
J. Kelly
3DPC
36
4
0
21 Nov 2022
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued
  Models
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models
Utkarsh Singhal
Stella X. Yu
Zackery Steck
Scott Kangas
Aaron A. Reite
142
3
0
21 Nov 2022
CLAWSAT: Towards Both Robust and Accurate Code Models
CLAWSAT: Towards Both Robust and Accurate Code Models
Jinghan Jia
Shashank Srikant
Tamara Mitrovska
Chuang Gan
Shiyu Chang
Sijia Liu
Una-May O’Reilly
AAML
131
11
0
21 Nov 2022
Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth
  Information
Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information
Ahmed Ben Saad
Kristina Prokopetc
J. Kherroubi
Axel Davy
Adrien Courtois
Gabriele Facciolo
SSLMDE
120
2
0
18 Nov 2022
Contrastive Losses Are Natural Criteria for Unsupervised Video
  Summarization
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
Zongshang Pang
Yuta Nakashima
Mayu Otani
Hajime Nagahara
52
6
0
18 Nov 2022
Weighted Ensemble Self-Supervised Learning
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan
Saurabh Singh
Warren Morningstar
Alexander A. Alemi
Sergey Ioffe
Ian S. Fischer
Joshua V. Dillon
FedML
89
16
0
18 Nov 2022
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual
  Information
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information
Weijie Su
Xizhou Zhu
Chenxin Tao
Lewei Lu
Bin Li
Gao Huang
Yu Qiao
Xiaogang Wang
Jie Zhou
Jifeng Dai
97
42
0
17 Nov 2022
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under
  Non-IID Data
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data
Ming Yang
Yanhan Wang
Xin Wang
Zhenyong Zhang
Xiaoming Wu
Peng Cheng
FedML
70
1
0
17 Nov 2022
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced
  Attention for Unsupervised Domain Adaptation
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain Adaptation
Xinyao Shu
Shiyang Yan
Zhenyu Lu
Xinshao Wang
Yuan Xie
77
2
0
16 Nov 2022
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive
  Learning with Spatial Priors in 3D Radiology Images
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images
Yejia Zhang
Nishchal Sapkota
Pengfei Gu
Yao Peng
Hao Zheng
Da Chen
66
6
0
16 Nov 2022
Robust Alzheimer's Progression Modeling using Cross-Domain
  Self-Supervised Deep Learning
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
Saba Dadsetan
Mohsen Hejrati
Shandong Wu
Somaye Hashemifar
OOD
105
0
0
15 Nov 2022
Exploiting Contrastive Learning and Numerical Evidence for Confusing
  Legal Judgment Prediction
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
Leilei Gan
Baokui Li
Kun Kuang
Yating Zhang
Lei Wang
Anh Tuan Luu
Yi-feng Yang
Leilei Gan
AILaw
48
10
0
15 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
104
59
0
15 Nov 2022
What Images are More Memorable to Machines?
What Images are More Memorable to Machines?
Junlin Han
Huangying Zhan
Jie Hong
Pengfei Fang
Hongdong Li
L. Petersson
Ian Reid
71
3
0
14 Nov 2022
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain
  Adaptative Semantic Segmentation
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
Mu Chen
Zhedong Zheng
Yi Yang
Tat-Seng Chua
121
54
0
14 Nov 2022
Unsupervised Face Recognition using Unlabeled Synthetic Data
Unsupervised Face Recognition using Unlabeled Synthetic Data
Fadi Boutros
Marcel Klemt
Meiling Fang
Arjan Kuijper
Naser Damer
CVBM
70
33
0
14 Nov 2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud
  Learning
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
Yabin Zhang
Jiehong Lin
Ruihuang Li
Kui Jia
Lei Zhang
3DPC
88
8
0
13 Nov 2022
Masked Contrastive Representation Learning
Masked Contrastive Representation Learning
Yuan Yao
Nandakishor Desai
M. Palaniswami
SSL
150
8
0
11 Nov 2022
Joint Data and Feature Augmentation for Self-Supervised Representation
  Learning on Point Clouds
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds
Zhuheng Lu
Yuewei Dai
Weiqing Li
Zhiyong Su
3DPC
81
4
0
02 Nov 2022
Beyond Instance Discrimination: Relation-aware Contrastive
  Self-supervised Learning
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Yifei Zhang
Chang-rui Liu
Yu Zhou
Weiping Wang
QiXiang Ye
Xiangyang Ji
SSLISegBDL
88
7
0
02 Nov 2022
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets
  Self-similarity
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity
Yi Chang
Yun Guo
Yuntong Ye
C. Yu
Lin Zhu
Xile Zhao
Luxin Yan
Yonghong Tian
SSL
76
17
0
02 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang
Yanchao Sun
Jiahao Su
Fengxiang He
Xinmei Tian
Furong Huang
Dinesh Manocha
Dacheng Tao
98
13
0
02 Nov 2022
Improving Variational Autoencoders with Density Gap-based Regularization
Improving Variational Autoencoders with Density Gap-based Regularization
Jianfei Zhang
Jun Bai
Chenghua Lin
Yanmeng Wang
Wenge Rong
DRL
74
6
0
01 Nov 2022
Rare Wildlife Recognition with Self-Supervised Representation Learning
Rare Wildlife Recognition with Self-Supervised Representation Learning
Xiaochen Zheng
SSL
32
2
0
29 Oct 2022
Speaker Representation Learning via Contrastive Loss with Maximal
  Speaker Separability
Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability
Zhe Li
Man-Wai Mak
SSL
108
6
0
29 Oct 2022
Discriminative Speaker Representation via Contrastive Learning with
  Class-Aware Attention in Angular Space
Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space
Zhe Li
Man-Wai Mak
Helen M. Meng
90
9
0
29 Oct 2022
Improving the Transferability of Adversarial Attacks on Face Recognition
  with Beneficial Perturbation Feature Augmentation
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation
Fengfan Zhou
H. Ling
Yuxuan Shi
Jiazhong Chen
Zongyi Li
Ping Li
AAML
138
7
0
28 Oct 2022
Facial Action Unit Detection and Intensity Estimation from
  Self-supervised Representation
Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation
Bowen Ma
Rudong An
Wei Zhang
Yu-qiong Ding
Zeng Zhao
Rongsheng Zhang
Tangjie Lv
Changjie Fan
Zhipeng Hu
CVBM
103
21
0
28 Oct 2022
Federated Learning with Intermediate Representation Regularization
Federated Learning with Intermediate Representation Regularization
Ye Lin Tun
Chu Myaet Thwal
Yu Min Park
Seong-Bae Park
Choong Seon Hong
FedML
90
7
0
28 Oct 2022
Boosting Semi-Supervised Semantic Segmentation with Probabilistic
  Representations
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Haoyu Xie
Changqi Wang
Mingkai Zheng
Minjing Dong
Shan You
Chong Fu
Chang Xu
SSL
78
15
0
26 Oct 2022
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal
  Prediction for Multimodal Sentiment Analysis
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis
Ronghao Lin
Haifeng Hu
SSL
74
15
0
26 Oct 2022
CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo
  labeling for Optical Flow Estimation
CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation
Zhiqi Zhang
Nitin Bansal
Changjiang Cai
Pan Ji
Qingan Yan
Xiangyu Xu
Yi Tian Xu
102
5
0
25 Oct 2022
A Chinese Spelling Check Framework Based on Reverse Contrastive Learning
A Chinese Spelling Check Framework Based on Reverse Contrastive Learning
Nankai Lin
Xiaotian Lin
Sihui Fu
Shengyi Jiang
Aimin Yang
69
2
0
25 Oct 2022
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised
  Object Discovery with Transformers
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers
Zhiwei Lin
Ze Yang
Yongtao Wang
ViT
83
2
0
24 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
78
8
0
23 Oct 2022
Neural Eigenfunctions Are Structured Representation Learners
Neural Eigenfunctions Are Structured Representation Learners
Zhijie Deng
Jiaxin Shi
Hao Zhang
Peng Cui
Cewu Lu
Jun Zhu
109
14
0
23 Oct 2022
Self-Supervised Pretraining on Satellite Imagery: a Case Study on
  Label-Efficient Vehicle Detection
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Jules Bourcier
Thomas Floquet
G. Dashyan
Tugdual Ceillier
Alahari Karteek
Jocelyn Chanussot
SSL
50
1
0
21 Oct 2022
Self-Supervised Learning via Maximum Entropy Coding
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
134
43
0
20 Oct 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic
  Retinopathy Grading
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
Yijin Huang
Junyan Lyu
Pujin Cheng
Roger Tam
Xiaoying Tang
ViTMedIm
100
20
0
20 Oct 2022
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from
  Self Supervision?
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
Lirui Wang
Kai Zhang
Yunzhu Li
Yonglong Tian
Russ Tedrake
100
17
0
20 Oct 2022
A Unified View of Masked Image Modeling
A Unified View of Masked Image Modeling
Zhiliang Peng
Li Dong
Hangbo Bao
QiXiang Ye
Furu Wei
VLM
133
38
0
19 Oct 2022
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image
  Retrieval
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval
Abhra Chaudhuri
Massimiliano Mancini
Yanbei Chen
Zeynep Akata
Anjan Dutta
79
6
0
19 Oct 2022
Rethinking Prototypical Contrastive Learning through Alignment,
  Uniformity and Correlation
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation
Shentong Mo
Zhun Sun
Chao Li
52
11
0
18 Oct 2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Zifeng Wang
Zhenbang Wu
Dinesh Agarwal
Jimeng Sun
CLIPVLMMedIm
129
436
0
18 Oct 2022
Non-Contrastive Learning Meets Language-Image Pre-Training
Non-Contrastive Learning Meets Language-Image Pre-Training
Jinghao Zhou
Li Dong
Zhe Gan
Lijuan Wang
Furu Wei
VLMCLIP
79
26
0
17 Oct 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Qishi Dong
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Tianyang Hu
Yongxin Yang
Sung-Ho Bae
Zhenguo Li
OODDVLM
115
14
0
17 Oct 2022
Correlation between Alignment-Uniformity and Performance of Dense
  Contrastive Representations
Correlation between Alignment-Uniformity and Performance of Dense Contrastive Representations
Jong Hak Moon
Wonjae Kim
Edward Choi
110
3
0
17 Oct 2022
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