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Exploring Simple Siamese Representation Learning

Exploring Simple Siamese Representation Learning

20 November 2020
Xinlei Chen
Kaiming He
    SSL
ArXiv (abs)PDFHTML

Papers citing "Exploring Simple Siamese Representation Learning"

50 / 2,357 papers shown
Title
CycleMix: A Holistic Strategy for Medical Image Segmentation from
  Scribble Supervision
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision
Kecheng Zhang
Xiahai Zhuang
73
68
0
03 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
102
109
0
02 Mar 2022
Self-Supervised Vision Transformers Learn Visual Concepts in
  Histopathology
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
Richard J. Chen
Rahul G. Krishnan
MedImViT
96
88
0
01 Mar 2022
Bridge the Gap between Supervised and Unsupervised Learning for
  Fine-Grained Classification
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification
Jiabao Wang
Yang Li
Xiu-Shen Wei
Hang Li
Zhuang Miao
Rui Zhang
103
8
0
01 Mar 2022
Understanding Contrastive Learning Requires Incorporating Inductive
  Biases
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Nikunj Saunshi
Jordan T. Ash
Surbhi Goel
Dipendra Kumar Misra
Cyril Zhang
Sanjeev Arora
Sham Kakade
A. Krishnamurthy
SSL
109
113
0
28 Feb 2022
Domain Knowledge-Informed Self-Supervised Representations for Workout
  Form Assessment
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
Paritosh Parmar
Amol Gharat
Helge Rhodin
3DHSSL
69
21
0
28 Feb 2022
Exploring the Impact of Negative Samples of Contrastive Learning: A Case
  Study of Sentence Embedding
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Rui Cao
Yihao Wang
Y. Liang
Ling Gao
Jie Zheng
Jie Ren
Zheng Wang
91
36
0
26 Feb 2022
Adversarial Contrastive Self-Supervised Learning
Adversarial Contrastive Self-Supervised Learning
Wentao Zhu
Hang Shang
Tingxun Lv
Chao Liao
Sen Yang
Ji Liu
SSL
37
1
0
26 Feb 2022
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
Bo-Wei Jiang
Hamid Krim
Tianfu Wu
D. Cansever
SSL
92
3
0
25 Feb 2022
Improved Dual Correlation Reduction Network
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
72
22
0
25 Feb 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
Teppei Suzuki
ViT
85
51
0
25 Feb 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small
  Batch Does Not Harm Performance
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Zhuoning Yuan
Yuexin Wu
Zi-qi Qiu
Xianzhi Du
Lijun Zhang
Denny Zhou
Tianbao Yang
133
30
0
24 Feb 2022
FreeSOLO: Learning to Segment Objects without Annotations
FreeSOLO: Learning to Segment Objects without Annotations
Xinlong Wang
Zhiding Yu
Shalini De Mello
Jan Kautz
Anima Anandkumar
Chunhua Shen
J. Álvarez
ISegSSeg
114
115
0
24 Feb 2022
Fully Self-Supervised Learning for Semantic Segmentation
Fully Self-Supervised Learning for Semantic Segmentation
Yuan Wang
Wei Zhuo
Yucong Li
Zhi Wang
Qi Ju
Wenwu Zhu
SSL
49
13
0
24 Feb 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised
  Learning
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Xihong Yang
Xiaochang Hu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
329
44
0
24 Feb 2022
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
95
94
0
22 Feb 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation
  and Decomposed Fragment Contrast
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
Yuyang Wang
Rishikesh Magar
Chen Liang
A. Farimani
88
81
0
18 Feb 2022
Towards better understanding and better generalization of few-shot
  classification in histology images with contrastive learning
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
Jiawei Yang
Hanbo Chen
Jiangpeng Yan
Xiaoyu Chen
Jianhua Yao
VLM
71
22
0
18 Feb 2022
Planckian Jitter: countering the color-crippling effects of color jitter
  on self-supervised training
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
Simone Zini
Alex Gomez-Villa
M. Buzzelli
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
28
14
0
16 Feb 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation
Bayesian Imitation Learning for End-to-End Mobile Manipulation
Yuqing Du
Daniel Ho
Alexander A. Alemi
Eric Jang
Mohi Khansari
SSL
68
12
0
15 Feb 2022
A Generic Self-Supervised Framework of Learning Invariant Discriminative
  Features
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
Foivos Ntelemis
Yaochu Jin
S. Thomas
OOD
72
5
0
14 Feb 2022
Synthetic Data Can Also Teach: Synthesizing Effective Data for
  Unsupervised Visual Representation Learning
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning
Yawen Wu
Zhepeng Wang
Dewen Zeng
Yiyu Shi
Jingtong Hu
SSL
98
16
0
14 Feb 2022
What Makes Good Contrastive Learning on Small-Scale Wearable-based
  Tasks?
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
Hangwei Qian
Tian Tian
Chunyan Miao
SSL
95
56
0
12 Feb 2022
Structure-aware Visualization Retrieval
Structure-aware Visualization Retrieval
Haotian Li
Yong Wang
Aoyu Wu
Huan Wei
Huamin Qu
96
25
0
12 Feb 2022
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal
  data improve recognition?
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?
Arnaud Huaulmé
Kanako Harada
Quang-Minh Nguyen
Bogyu Park
Seungbum Hong
...
Yuto Ishikawa
Yuriko Harai
Satoshi Kondo
M. Mitsuishi
Pierre Jannin
66
9
0
11 Feb 2022
Energy-Based Contrastive Learning of Visual Representations
Energy-Based Contrastive Learning of Visual Representations
Beomsu Kim
Jong Chul Ye
61
16
0
10 Feb 2022
Point-Level Region Contrast for Object Detection Pre-Training
Point-Level Region Contrast for Object Detection Pre-Training
Yutong Bai
Xinlei Chen
Alexander Kirillov
Alan Yuille
Alexander C. Berg
3DPC
94
51
0
09 Feb 2022
Self-supervised Contrastive Learning for Cross-domain Hyperspectral
  Image Representation
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation
Hyungtae Lee
H. Kwon
SSL
44
17
0
08 Feb 2022
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
Yuxin Fang
Li Dong
Hangbo Bao
Xinggang Wang
Furu Wei
102
88
0
07 Feb 2022
Simple Control Baselines for Evaluating Transfer Learning
Simple Control Baselines for Evaluating Transfer Learning
Andrei Atanov
Shijian Xu
Onur Beker
Andrei Filatov
Amir Zamir
SSL
70
1
0
07 Feb 2022
Crafting Better Contrastive Views for Siamese Representation Learning
Crafting Better Contrastive Views for Siamese Representation Learning
Xiang Peng
Kai Wang
Zheng Hua Zhu
Mang Wang
Yang You
SSL
92
105
0
07 Feb 2022
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple
  Sequence-to-Sequence Learning Framework
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Peng Wang
An Yang
Rui Men
Junyang Lin
Shuai Bai
Zhikang Li
Jianxin Ma
Chang Zhou
Jingren Zhou
Hongxia Yang
MLLMObjD
246
884
0
07 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
198
401
0
07 Feb 2022
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting
Guofeng Mei
Litao Yu
Qiang Wu
Jian Zhang
Mohammed Bennamoun
SSL3DPC
67
9
0
05 Feb 2022
Bootstrapped Representation Learning for Skeleton-Based Action
  Recognition
Bootstrapped Representation Learning for Skeleton-Based Action Recognition
Olivier Moliner
Sangxia Huang
Kalle Åström
SSL
57
14
0
04 Feb 2022
Practical Imitation Learning in the Real World via Task Consistency Loss
Practical Imitation Learning in the Real World via Task Consistency Loss
Mohi Khansari
Daniel Ho
Yuqing Du
Armando Fuentes
Matthew Bennice
Nicolas Sievers
Sean Kirmani
Yunfei Bai
Eric Jang
SSL
59
8
0
03 Feb 2022
The Met Dataset: Instance-level Recognition for Artworks
The Met Dataset: Instance-level Recognition for Artworks
Nikolaos-Antonios Ypsilantis
Noa Garcia
G. Han
Sarah Ibrahimi
Nanne van Noord
Giorgos Tolias
82
43
0
03 Feb 2022
Relative Position Prediction as Pre-training for Text Encoders
Relative Position Prediction as Pre-training for Text Encoders
Rickard Brüel-Gabrielsson
Chris Scarvelis
75
1
0
02 Feb 2022
Understanding The Robustness of Self-supervised Learning Through Topic
  Modeling
Understanding The Robustness of Self-supervised Learning Through Topic Modeling
Zeping Luo
Shiyou Wu
C. Weng
Mo Zhou
Rong Ge
OODSSL
75
3
0
02 Feb 2022
ColloSSL: Collaborative Self-Supervised Learning for Human Activity
  Recognition
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
Yash Jain
Chi Ian Tang
Chulhong Min
F. Kawsar
Akhil Mathur
SSL
100
54
0
01 Feb 2022
When Do Flat Minima Optimizers Work?
When Do Flat Minima Optimizers Work?
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
142
65
0
01 Feb 2022
HCSC: Hierarchical Contrastive Selective Coding
HCSC: Hierarchical Contrastive Selective Coding
Yuanfan Guo
Minghao Xu
Jiawen Li
Bingbing Ni
Xuanyu Zhu
Zhenbang Sun
Yi Tian Xu
73
73
0
01 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity
  and Few-Shot Difficulty
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Jaehoon Oh
Sungnyun Kim
Namgyu Ho
Jin-Hwa Kim
Hwanjun Song
Se-Young Yun
65
38
0
01 Feb 2022
Adversarial Masking for Self-Supervised Learning
Adversarial Masking for Self-Supervised Learning
Yuge Shi
N. Siddharth
Philip Torr
Adam R. Kosiorek
SSL
143
87
0
31 Jan 2022
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Yuandong Tian
172
35
0
29 Jan 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
117
28
0
28 Jan 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning
  via Ranked Positives
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
David T. Hoffmann
Nadine Behrmann
Juergen Gall
Thomas Brox
M. Noroozi
64
43
0
27 Jan 2022
Contrastive Embedding Distribution Refinement and Entropy-Aware
  Attention for 3D Point Cloud Classification
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
Feng Yang
Yichao Cao
Qifan Xue
Shuai Jin
Xuanpeng Li
Weigong Zhang
3DPC
47
4
0
27 Jan 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
313
126
0
26 Jan 2022
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning
  for Speech Pre-Training
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
Wenyong Huang
Zhenhe Zhang
Y. Yeung
Xin Jiang
Qun Liu
111
23
0
25 Jan 2022
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