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Exploring Simple Siamese Representation Learning

Exploring Simple Siamese Representation Learning

20 November 2020
Xinlei Chen
Kaiming He
    SSL
ArXivPDFHTML

Papers citing "Exploring Simple Siamese Representation Learning"

50 / 2,310 papers shown
Title
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning
  in Medical Imaging
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
M. Taher
F. Haghighi
Michael B. Gotway
Jianming Liang
OOD
SSL
15
31
0
15 Apr 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
36
311
0
14 Apr 2022
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for
  Multimodal Sentiment Detection
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Zhen Li
Bing Xu
Conghui Zhu
Tiejun Zhao
48
71
0
12 Apr 2022
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion
  Recognition
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
Yang Li
Ji Chen
Fu Li
Boxun Fu
Hao Wu
Youshuo Ji
Yijing Zhou
Yi Niu
Guangming Shi
Wenming Zheng
SSL
33
91
0
12 Apr 2022
Self-supervised Vision Transformers for Joint SAR-optical Representation
  Learning
Self-supervised Vision Transformers for Joint SAR-optical Representation Learning
Yi Wang
C. Albrecht
Xiaoxiang Zhu
ViT
30
49
0
11 Apr 2022
SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric
  Action Recognition
SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition
Victor Escorcia
Ricardo Guerrero
Xiatian Zhu
Brais Martínez
EgoV
30
9
0
10 Apr 2022
Representation Learning by Detecting Incorrect Location Embeddings
Representation Learning by Detecting Incorrect Location Embeddings
Sepehr Sameni
Simon Jenni
Paolo Favaro
ViT
34
4
0
10 Apr 2022
Contrastive Demonstration Tuning for Pre-trained Language Models
Contrastive Demonstration Tuning for Pre-trained Language Models
Xiaozhuan Liang
Ningyu Zhang
Shuyang Cheng
Zhenru Zhang
Chuanqi Tan
Huajun Chen
VLM
ALM
VPVLM
52
9
0
09 Apr 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
36
97
0
09 Apr 2022
Frequency Selective Augmentation for Video Representation Learning
Frequency Selective Augmentation for Video Representation Learning
Jinhyung Kim
Taeoh Kim
Minho Shim
Dongyoon Han
Dongyoon Wee
Junmo Kim
AI4TS
54
3
0
08 Apr 2022
Unsupervised Prompt Learning for Vision-Language Models
Unsupervised Prompt Learning for Vision-Language Models
Hao Huang
Jack Chu
Fangyun Wei
VPVLM
MLLM
VLM
41
132
0
07 Apr 2022
Unified Contrastive Learning in Image-Text-Label Space
Unified Contrastive Learning in Image-Text-Label Space
Jianwei Yang
Chunyuan Li
Pengchuan Zhang
Bin Xiao
Ce Liu
Lu Yuan
Jianfeng Gao
VLM
SSL
56
221
0
07 Apr 2022
Temporal Alignment for History Representation in Reinforcement Learning
Temporal Alignment for History Representation in Reinforcement Learning
Aleksandr Ermolov
E. Sangineto
N. Sebe
AI4TS
21
2
0
07 Apr 2022
Self-supervised learning for robust voice cloning
Self-supervised learning for robust voice cloning
Konstantinos Klapsas
Nikolaos Ellinas
Karolos Nikitaras
G. Vamvoukakis
Panos Kakoulidis
...
S. Raptis
June Sig Sung
Gunu Jho
Aimilios Chalamandaris
Pirros Tsiakoulis
SSL
32
6
0
07 Apr 2022
mulEEG: A Multi-View Representation Learning on EEG Signals
mulEEG: A Multi-View Representation Learning on EEG Signals
Vamsi Kumar
Likith Reddy
Shivam Kumar Sharma
Kamalakar Dadi
Chiranjeevi Yarra
B. Raju
Srijithesh P. Rajendran
13
16
0
07 Apr 2022
Exploring Cross-Domain Pretrained Model for Hyperspectral Image
  Classification
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification
Hyungtae Lee
Sungmin Eum
H. Kwon
30
22
0
07 Apr 2022
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of
  Feature Similarity
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity
Tejan Karmali
Abhinav Atrishi
Sai Sree Harsha
Susmit Agrawal
Varun Jampani
R. Venkatesh Babu
SSL
28
5
0
06 Apr 2022
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance
  Evaluated on Non-stationary Seismic Signal Time Series
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series
Daesoo Lee
Erlend Aune
N. Langet
J. Eidsvik
20
0
0
06 Apr 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive
  Representations to Related Subpopulations
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
Jeff Z. HaoChen
Colin Wei
Ananya Kumar
Tengyu Ma
36
37
0
06 Apr 2022
Self-supervised learning -- A way to minimize time and effort for
  precision agriculture?
Self-supervised learning -- A way to minimize time and effort for precision agriculture?
Michael Marszalek
Bertrand Le Saux
P. Mathieu
A. Nowakowski
Daniel Springer
27
7
0
05 Apr 2022
How stable are Transferability Metrics evaluations?
How stable are Transferability Metrics evaluations?
A. Agostinelli
Michal Pándy
J. Uijlings
Thomas Mensink
V. Ferrari
35
23
0
04 Apr 2022
Simplicial Embeddings in Self-Supervised Learning and Downstream
  Classification
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
Samuel Lavoie
Christos Tsirigotis
Max Schwarzer
Ankit Vani
Michael Noukhovitch
Kenji Kawaguchi
Rameswar Panda
SSL
32
17
0
01 Apr 2022
On the Importance of Asymmetry for Siamese Representation Learning
On the Importance of Asymmetry for Siamese Representation Learning
Tianlin Li
Haoqi Fan
Yuandong Tian
Daisuke Kihara
Xinlei Chen
SSL
30
51
0
01 Apr 2022
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching
Shuai Chen
Xinghui Li
Zirui Wang
V. Prisacariu
3DV
10
68
0
01 Apr 2022
Leverage Your Local and Global Representations: A New Self-Supervised
  Learning Strategy
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
Tong Zhang
Congpei Qiu
Wei Ke
Sabine Süsstrunk
Mathieu Salzmann
SSL
24
36
0
31 Mar 2022
Semantic Pose Verification for Outdoor Visual Localization with
  Self-supervised Contrastive Learning
Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning
Semih Orhan
Jose J. Guerrero
Y. Bastanlar
SSL
18
5
0
31 Mar 2022
Video-Text Representation Learning via Differentiable Weak Temporal
  Alignment
Video-Text Representation Learning via Differentiable Weak Temporal Alignment
Dohwan Ko
Joonmyung Choi
Juyeon Ko
Shinyeong Noh
Kyoung-Woon On
Eun-Sol Kim
Hyunwoo J. Kim
VGen
AI4TS
34
22
0
31 Mar 2022
Weakly Supervised Patch Label Inference Networks for Efficient Pavement
  Distress Detection and Recognition in the Wild
Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild
Sheng Huang
Wenhao Tang
Guixin Huang
Luwen Huangfu
Dan Yang
25
8
0
31 Mar 2022
Dual Temperature Helps Contrastive Learning Without Many Negative
  Samples: Towards Understanding and Simplifying MoCo
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang
Kang Zhang
T. Pham
Axi Niu
Zhinan Qiao
Chang D. Yoo
In So Kweon
26
54
0
30 Mar 2022
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe
  Domain Shift
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift
Burak Yıldız
Seyran Khademi
R. Siebes
Jan van Gemert
30
19
0
30 Mar 2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified
  Understanding with Self-supervised Contrastive Learning
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
T. Pham
Chang D. Yoo
In So Kweon
SSL
34
71
0
30 Mar 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Corentin Sautier
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Andrei Bursuc
Renaud Marlet
3DPC
28
117
0
30 Mar 2022
Contrasting the landscape of contrastive and non-contrastive learning
Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle
Jinjin Tian
Yuchen Li
Andrej Risteski
SSL
38
28
0
29 Mar 2022
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
Xiaotong Li
Yixiao Ge
Kun Yi
Zixuan Hu
Ying Shan
Ling-yu Duan
37
38
0
29 Mar 2022
Self-Supervised Image Representation Learning with Geometric Set
  Consistency
Self-Supervised Image Representation Learning with Geometric Set Consistency
Nenglun Chen
Lei Chu
Hao Pan
Yan Lu
Wenping Wang
SSL
36
8
0
29 Mar 2022
Camera-Conditioned Stable Feature Generation for Isolated Camera
  Supervised Person Re-IDentification
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification
Chaoyang Wu
Wenhang Ge
Ancong Wu
Xiaobin Chang
44
21
0
29 Mar 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection
Expanding Low-Density Latent Regions for Open-Set Object Detection
Jiaming Han
Yuqiang Ren
Jian Ding
Xingjia Pan
Ke Yan
Guisong Xia
ObjD
40
59
0
28 Mar 2022
Learning Where to Learn in Cross-View Self-Supervised Learning
Learning Where to Learn in Cross-View Self-Supervised Learning
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
SSL
25
41
0
28 Mar 2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
Mugs: A Multi-Granular Self-Supervised Learning Framework
Pan Zhou
Yichen Zhou
Chenyang Si
Weihao Yu
Teck Khim Ng
Shuicheng Yan
VLM
39
60
0
27 Mar 2022
CaCo: Both Positive and Negative Samples are Directly Learnable via
  Cooperative-adversarial Contrastive Learning
CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning
Tianlin Li
Yuhang Huang
Dan Zeng
Guo-Jun Qi
SSL
19
16
0
27 Mar 2022
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch
  Recognition
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
Chien-Yi Wang
Yujiang Lu
Shang-Ta Yang
S. Lai
AAML
CVBM
37
101
0
27 Mar 2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis
  and Prognosis: A Review
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
C. Cui
Haichun Yang
Yaohong Wang
Shilin Zhao
Zuhayr Asad
Lori A. Coburn
K. Wilson
Bennett A. Landman
Yuankai Huo
28
94
0
25 Mar 2022
DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio
  Representation Learning
DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio Representation Learning
Sreyan Ghosh
Ashish Seth
and Deepak Mittal
Maneesh Singh
S. Umesh
SSL
27
6
0
25 Mar 2022
Improving Contrastive Learning with Model Augmentation
Improving Contrastive Learning with Model Augmentation
Zhiwei Liu
Yong-Guang Chen
Jia Li
Man Luo
Philip S. Yu
Caiming Xiong
33
11
0
25 Mar 2022
Chaos is a Ladder: A New Theoretical Understanding of Contrastive
  Learning via Augmentation Overlap
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Yifei Wang
Qi Zhang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
32
98
0
25 Mar 2022
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance
  Segmentation?
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?
Zhenyu Wang
Yali Li
Shengjin Wang
ISeg
24
29
0
25 Mar 2022
Self-Supervised Predictive Learning: A Negative-Free Method for Sound
  Source Localization in Visual Scenes
Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes
Zengjie Song
Yuxi Wang
Junsong Fan
Tieniu Tan
Zhaoxiang Zhang
SSL
24
42
0
25 Mar 2022
Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic
  Memory
Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
Lian Siyao
Weijiang Yu
Tianpei Gu
Chunze Lin
Quan Wang
Chao Qian
Chen Change Loy
Ziwei Liu
SLR
47
184
0
24 Mar 2022
On Understanding and Mitigating the Dimensional Collapse of Graph
  Contrastive Learning: a Non-Maximum Removal Approach
On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach
Jiawei Sun
Ruoxin Chen
Jie Li
Chentao Wu
Yue Ding
Junchi Yan
37
0
0
24 Mar 2022
The Challenges of Continuous Self-Supervised Learning
The Challenges of Continuous Self-Supervised Learning
Senthil Purushwalkam
Pedro Morgado
Abhinav Gupta
CLL
24
43
0
23 Mar 2022
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