ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.04297
  4. Cited By
Improved Baselines with Momentum Contrastive Learning

Improved Baselines with Momentum Contrastive Learning

9 March 2020
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
    SSL
ArXiv (abs)PDFHTML

Papers citing "Improved Baselines with Momentum Contrastive Learning"

50 / 2,109 papers shown
Title
Object-Aware Cropping for Self-Supervised Learning
Object-Aware Cropping for Self-Supervised Learning
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Abhyuday N. Jagannatha
Janit Anjaria
Abhishek Sharma
David Jacobs
Dilip Krishnan
SSL
108
24
0
01 Dec 2021
Unleashing the Potential of Unsupervised Pre-Training with
  Intra-Identity Regularization for Person Re-Identification
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification
Zizheng Yang
Xin Jin
Kecheng Zheng
Feng Zhao
SSL
105
22
0
01 Dec 2021
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
Yuval Alaluf
Omer Tov
Ron Mokady
Rinon Gal
Amit H. Bermano
165
278
0
30 Nov 2021
Boosting Discriminative Visual Representation Learning with
  Scenario-Agnostic Mixup
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup
Siyuan Li
Zicheng Liu
Zedong Wang
Di Wu
Zihan Liu
Stan Z. Li
111
27
0
30 Nov 2021
CRIS: CLIP-Driven Referring Image Segmentation
CRIS: CLIP-Driven Referring Image Segmentation
Zhaoqing Wang
Yu Lu
Qiang Li
Xunqiang Tao
Yan Guo
Ming Gong
Tongliang Liu
VLM
130
374
0
30 Nov 2021
UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event
  Boundary Detection
UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection
Hyolim Kang
Jinwoo Kim
Taehyun Kim
Seon Joo Kim
87
26
0
29 Nov 2021
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive
  Learning
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
S. Canu
SSL
50
30
0
29 Nov 2021
A Practical Contrastive Learning Framework for Single-Image
  Super-Resolution
A Practical Contrastive Learning Framework for Single-Image Super-Resolution
Gang Wu
Junjun Jiang
Xianming Liu
81
52
0
27 Nov 2021
Contrastive Object-level Pre-training with Spatial Noise Curriculum
  Learning
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
Chenhongyi Yang
Lichao Huang
Elliot J. Crowley
SSLVLM
62
6
0
26 Nov 2021
ContIG: Self-supervised Multimodal Contrastive Learning for Medical
  Imaging with Genetics
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics
Aiham Taleb
Matthias Kirchler
Remo Monti
C. Lippert
SSLMedIm
75
58
0
26 Nov 2021
Simple Contrastive Representation Adversarial Learning for NLP Tasks
Simple Contrastive Representation Adversarial Learning for NLP Tasks
Deshui Miao
Jiaqi Zhang
Wenbo Xie
Jian Song
Xin Li
Lijuan Jia
Ning Guo
SSL
43
13
0
26 Nov 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
74
16
0
25 Nov 2021
Active Learning at the ImageNet Scale
Active Learning at the ImageNet Scale
Z. Emam
Hong-Min Chu
Ping Yeh-Chiang
W. Czaja
R. Leapman
Micah Goldblum
Tom Goldstein
98
35
0
25 Nov 2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
Baining Guo
ViT
153
246
0
24 Nov 2021
ViCE: Improving Dense Representation Learning by Superpixelization and
  Contrasting Cluster Assignment
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson
Tomoki Hayashi
Keisuke Fujii
Alexander Carballo
Kento Ohtani
K. Takeda
SSL
75
4
0
24 Nov 2021
Consistency Regularization for Deep Face Anti-Spoofing
Consistency Regularization for Deep Face Anti-Spoofing
Zezheng Wang
Zitong Yu
Xun Wang
Yunxiao Qin
Jiahong Li
Chenxu Zhao
Zhen Lei
Xin Liu
Size Li
Zhongyuan Wang
CVBM
80
27
0
24 Nov 2021
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
Yufei Xu
Qiming Zhang
Jing Zhang
Dacheng Tao
SSL
134
18
0
24 Nov 2021
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
Siladittya Manna
Umapada Pal
Saumik Bhattacharya
SSL
127
1
0
24 Nov 2021
Multi-label Iterated Learning for Image Classification with Label
  Ambiguity
Multi-label Iterated Learning for Image Classification with Label Ambiguity
Sai Rajeswar
Pau Rodríguez López
Soumye Singhal
David Vazquez
Rameswar Panda
VLM
88
31
0
23 Nov 2021
Self-Supervised Pre-Training for Transformer-Based Person
  Re-Identification
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Haowen Luo
Pichao Wang
Yi Tian Xu
Feng Ding
Yanxin Zhou
Fan Wang
Hao Li
Rong Jin
ViT
83
62
0
23 Nov 2021
Learning Representation for Clustering via Prototype Scattering and
  Positive Sampling
Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Zhizhong Huang
Jie Chen
Junping Zhang
Hongming Shan
84
99
0
23 Nov 2021
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised
  Learning
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
Xin Zhang
Zixuan Liu
Kaiwen Xiao
Tian Shen
Junzhou Huang
Wei Yang
Dimitris Samaras
Xiao Han
NoLa
109
4
0
23 Nov 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
110
10
0
23 Nov 2021
Why Do Self-Supervised Models Transfer? Investigating the Impact of
  Invariance on Downstream Tasks
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
95
15
0
22 Nov 2021
Contrast-reconstruction Representation Learning for Self-supervised
  Skeleton-based Action Recognition
Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition
Peng Wang
Jun Wen
Chenyang Si
Y. Qian
Liang Wang
SSL
107
44
0
22 Nov 2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality
  Evaluation
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation
Haoping Bai
Mengyao Cao
Ping Huang
Jiulong Shan
SSL
68
11
0
22 Nov 2021
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Yunsung Lee
Teakgyu Hong
Han-Cheol Cho
Junbum Cha
Seungryong Kim
SSL
33
0
0
21 Nov 2021
Deep Probability Estimation
Deep Probability Estimation
Sheng Liu
Aakash Kaku
Weicheng Zhu
M. Leibovich
S. Mohan
...
Haoxiang Huang
L. Zanna
N. Razavian
Jonathan Niles-Weed
C. Fernandez‐Granda
UQCVOOD
97
14
0
21 Nov 2021
Combined Scaling for Zero-shot Transfer Learning
Combined Scaling for Zero-shot Transfer Learning
Hieu H. Pham
Zihang Dai
Golnaz Ghiasi
Kenji Kawaguchi
Hanxiao Liu
...
Yi-Ting Chen
Minh-Thang Luong
Yonghui Wu
Mingxing Tan
Quoc V. Le
VLM
142
202
0
19 Nov 2021
Meta Clustering Learning for Large-scale Unsupervised Person
  Re-identification
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification
Xin Jin
Tianyu He
Xu Shen
Tongliang Liu
Xinchao Wang
Jianqiang Huang
Zhibo Chen
Xiansheng Hua
107
12
0
19 Nov 2021
Improving Transferability of Representations via Augmentation-Aware
  Self-Supervision
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee
Kibok Lee
Kimin Lee
Honglak Lee
Jinwoo Shin
SSL
91
55
0
18 Nov 2021
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Zebin Lin
Wenjie Pei
Fanglin Chen
Dafan Zhang
Guangming Lu
90
21
0
17 Nov 2021
INTERN: A New Learning Paradigm Towards General Vision
INTERN: A New Learning Paradigm Towards General Vision
Jing Shao
Siyu Chen
Yangguang Li
Kun Wang
Zhen-fei Yin
...
F. Yu
Junjie Yan
Dahua Lin
Xiaogang Wang
Yu Qiao
110
34
0
16 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
202
15
0
11 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic
  Segmentation
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
65
10
0
09 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSLViT
44
2
0
08 Nov 2021
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
203
84
0
08 Nov 2021
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Ruiyang Liu
Hai-Tao Zheng
Li Tao
Dun Liang
Haitao Zheng
217
100
0
07 Nov 2021
Towards noise robust trigger-word detection with contrastive learning
  pre-task for fast on-boarding of new trigger-words
Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words
S. Balasubramanian
Aditya Jajodia
Gowtham Srinivasan
CLIP
83
0
0
06 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation
  Learning
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo
Tianhao Zhao
Yutian Lin
Bo Du
SSL
62
6
0
04 Nov 2021
Recent Advancements in Self-Supervised Paradigms for Visual Feature
  Representation
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation
Mrinal Anand
Aditya Garg
SSL
46
2
0
03 Nov 2021
When Does Contrastive Learning Preserve Adversarial Robustness from
  Pretraining to Finetuning?
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan
Sijia Liu
Pin-Yu Chen
Gaoyuan Zhang
Chuang Gan
AAMLVLM
95
125
0
01 Nov 2021
Self-Supervised Radio-Visual Representation Learning for 6G Sensing
Self-Supervised Radio-Visual Representation Learning for 6G Sensing
Mohammed Alloulah
Akash Deep Singh
Maximilian Arnold
SSL
66
8
0
01 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
106
115
0
01 Nov 2021
TransAug: Translate as Augmentation for Sentence Embeddings
Jue Wang
69
0
0
30 Oct 2021
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
Xi Shen
Alexei A. Efros
Armand Joulin
Mathieu Aubry
68
11
0
29 Oct 2021
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels
Jiexi Yan
Lei Luo
Cheng Deng
Heng-Chiao Huang
NoLa
68
21
0
29 Oct 2021
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report
  Classification
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification
Ajay Jaiswal
Liyan Tang
Meheli Ghosh
J. Rousseau
Yifan Peng
Ying Ding
MedIm
92
16
0
28 Oct 2021
Residual Relaxation for Multi-view Representation Learning
Residual Relaxation for Multi-view Representation Learning
Yifei Wang
Zhengyang Geng
Feng Jiang
Chuming Li
Yisen Wang
Jiansheng Yang
Zhouchen Lin
68
39
0
28 Oct 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural
  Network Weights for Model Characteristic Prediction
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schurholt
Dimche Kostadinov
Damian Borth
SSL
119
15
0
28 Oct 2021
Previous
123...313233...414243
Next