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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
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet
  Loss for Writer Independent Offline Signature Verification
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification
Soumitri Chattopadhyay
Siladittya Manna
Saumik Bhattacharya
Umapada Pal
75
23
0
25 Jan 2022
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors
Dongrui Liu
Chuanchaun Chen
Changqing Xu
Robert C. Qiu
Lei Chu
3DPC
92
13
0
25 Jan 2022
Neural Manifold Clustering and Embedding
Neural Manifold Clustering and Embedding
Zengyi Li
Yubei Chen
Yann LeCun
Friedrich T. Sommer
DRL
93
43
0
24 Jan 2022
Learning Graph Augmentations to Learn Graph Representations
Learning Graph Augmentations to Learn Graph Representations
Kaveh Hassani
Amir Hosein Khas Ahmadi
110
21
0
24 Jan 2022
Gradient-guided Unsupervised Text Style Transfer via Contrastive
  Learning
Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning
Cheng Fan
Ziao Li
Wei Wei
31
2
0
23 Jan 2022
Contrastive and Selective Hidden Embeddings for Medical Image
  Segmentation
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
Zhuowei Li
Zihao Liu
Zhiqiang Hu
Qing Xia
Ruiqin Xiong
Shaoting Zhang
Dimitris N. Metaxas
Tingting Jiang
SSL
72
8
0
21 Jan 2022
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
A. Lengyel
Robert-Jan Bruintjes
Marcos Baptista-Rios
O. Kayhan
Davide Zambrano
Nergis Tomen
Jan van Gemert
VLM
70
11
0
21 Jan 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Mannat Singh
Laura Gustafson
Aaron B. Adcock
Vinicius de Freitas Reis
B. Gedik
Raj Prateek Kosaraju
D. Mahajan
Ross B. Girshick
Piotr Dollár
Laurens van der Maaten
VLM
104
130
0
20 Jan 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image
  Encoders
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
Zeyang Sha
Xinlei He
Ning Yu
Michael Backes
Yang Zhang
138
35
0
19 Jan 2022
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
J. S. K. Yi
Min-seok Seo
Jongchan Park
Dong-Geol Choi
SSLVLM
73
41
0
19 Jan 2022
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture
  Representation of Chest Radiographs
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs
Lei Zhou
Joseph Bae
Huidong Liu
Gagandeep Singh
Jeremy Green
Amit Gupta
Dimitris Samaras
Prateek Prasanna
OODMedIm
66
6
0
18 Jan 2022
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery
  Detection
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
A. Haliassos
Rodrigo Mira
Stavros Petridis
Maja Pantic
CVBM
121
133
0
18 Jan 2022
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly
  Supervised Semantic Segmentation
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation
Kun Yuan
Gerald Schaefer
Yu-kun Lai
Yifan Wang
Xiyao Liu
Lin Guan
Hui Fang
57
1
0
18 Jan 2022
RePre: Improving Self-Supervised Vision Transformer with Reconstructive
  Pre-training
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Luyang Wang
Feng Liang
Yangguang Li
Honggang Zhang
Wanli Ouyang
Jing Shao
ViT
94
25
0
18 Jan 2022
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object
  Detection
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
Zehui Chen
Zhenyu Li
Shiquan Zhang
Liangji Fang
Qinghong Jiang
Feng Zhao
Bolei Zhou
Hang Zhao
3DPC
104
122
0
17 Jan 2022
Video Transformers: A Survey
Video Transformers: A Survey
Javier Selva
A. S. Johansen
Sergio Escalera
Kamal Nasrollahi
T. Moeslund
Albert Clapés
ViT
141
107
0
16 Jan 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning
Yupei Liu
Jinyuan Jia
Hongbin Liu
Neil Zhenqiang Gong
MIACV
90
26
0
15 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
93
105
0
15 Jan 2022
Semantic decoupled representation learning for remote sensing image
  change detection
Semantic decoupled representation learning for remote sensing image change detection
Hao Chen
Y. Zao
Liqin Liu
Songhang Chen
Zhenwei Shi
66
9
0
15 Jan 2022
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised
  Knowledge Distillation
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
K. Navaneet
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
63
20
0
13 Jan 2022
Robust Contrastive Learning against Noisy Views
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Eric Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
66
72
0
12 Jan 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks
Sound and Visual Representation Learning with Multiple Pretraining Tasks
A. Vasudevan
Dengxin Dai
Luc Van Gool
SSL
80
6
0
04 Jan 2022
Representation Learning via Consistent Assignment of Views to Clusters
Representation Learning via Consistent Assignment of Views to Clusters
T. Silva
Adín Ramirez Rivera
SSL
52
10
0
31 Dec 2021
Self Reward Design with Fine-grained Interpretability
Self Reward Design with Fine-grained Interpretability
Erico Tjoa
G. Cuntai
48
1
0
30 Dec 2021
Continually Learning Self-Supervised Representations with Projected
  Functional Regularization
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Alex Gomez-Villa
Bartlomiej Twardowski
Lu Yu
Andrew D. Bagdanov
Joost van de Weijer
CLLSSL
102
41
0
30 Dec 2021
Deep Graph Clustering via Dual Correlation Reduction
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
71
216
0
29 Dec 2021
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDLVLM
45
0
0
26 Dec 2021
Disentanglement by Cyclic Reconstruction
Disentanglement by Cyclic Reconstruction
David Bertoin
Emmanuel Rachelson
OOD
52
4
0
24 Dec 2021
Self-Supervised Graph Representation Learning for Neuronal Morphologies
Self-Supervised Graph Representation Learning for Neuronal Morphologies
Marissa A. Weis
Laura Hansel
Timo Lüddecke
Alexander S. Ecker
MedIm
81
8
0
23 Dec 2021
Cooperative learning for multiview analysis
Cooperative learning for multiview analysis
D. Ding
Shuangning Li
B. Narasimhan
Robert Tibshirani
145
49
0
23 Dec 2021
Physics Constrained Flow Neural Network for Short-Timescale Predictions
  in Data Communications Networks
Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks
Xiangle Cheng
James He
Shihan Xiao
Yingxue Zhang
Zhitang Chen
Pascal Poupart
Fenglin Li
PINNAI4CE
400
0
0
23 Dec 2021
Barely-Supervised Learning: Semi-Supervised Learning with very few
  labeled images
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images
Thomas Lucas
Philippe Weinzaepfel
Grégory Rogez
SSL
76
31
0
22 Dec 2021
Simple and Effective Balance of Contrastive Losses
Simple and Effective Balance of Contrastive Losses
Arnaud Sors
Rafael Sampaio de Rezende
Sarah Ibrahimi
J. Andreoli
SSL
96
1
0
22 Dec 2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
106
152
0
20 Dec 2021
Transformers Can Do Bayesian Inference
Transformers Can Do Bayesian Inference
Samuel G. Müller
Noah Hollmann
Sebastian Pineda Arango
Josif Grabocka
Frank Hutter
BDLUQCV
111
170
0
20 Dec 2021
Learning with Label Noise for Image Retrieval by Selecting Interactions
Learning with Label Noise for Image Retrieval by Selecting Interactions
Sarah Ibrahimi
Arnaud Sors
Rafael Sampaio de Rezende
Stéphane Clinchant
NoLaVLM
79
16
0
20 Dec 2021
RELAX: Representation Learning Explainability
RELAX: Representation Learning Explainability
Kristoffer Wickstrøm
Daniel J. Trosten
Sigurd Løkse
Ahcène Boubekki
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
FAtt
51
15
0
19 Dec 2021
Image Segmentation Using Text and Image Prompts
Image Segmentation Using Text and Image Prompts
Timo Lüddecke
Alexander S. Ecker
CLIPVLM
158
477
0
18 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes
Randall Balestriero
Pascal Vincent
DiffM
109
65
0
16 Dec 2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
198
677
0
16 Dec 2021
Human Hands as Probes for Interactive Object Understanding
Human Hands as Probes for Interactive Object Understanding
Mohit Goyal
Sahil Modi
Rishabh Goyal
Saurabh Gupta
92
48
0
16 Dec 2021
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning
  for Self-supervised Speaker Verification
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification
Sung Hwan Mun
Min Hyun Han
Dongjune Lee
Jihwan Kim
N. Kim
SSL
96
3
0
16 Dec 2021
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video
  Representation
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation
Yujia Zhang
L. Po
Xuyuan Xu
Mengyang Liu
Yexin Wang
Weifeng Ou
Yuzhi Zhao
Weikang Yu
SSLAI4TS
74
17
0
16 Dec 2021
Deep Hash Distillation for Image Retrieval
Deep Hash Distillation for Image Retrieval
Young Kyun Jang
Geonmo Gu
ByungSoo Ko
Isaac Kang
N. Cho
93
37
0
16 Dec 2021
Long Context Question Answering via Supervised Contrastive Learning
Long Context Question Answering via Supervised Contrastive Learning
Avi Caciularu
Ido Dagan
Jacob Goldberger
Arman Cohan
RALM
92
24
0
16 Dec 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier
  Arbitration
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang
Jingyang Lin
Jingjing Zou
Yingwei Pan
Ting Yao
Tao Mei
OODD
123
13
0
15 Dec 2021
Makeup216: Logo Recognition with Adversarial Attention Representations
Makeup216: Logo Recognition with Adversarial Attention Representations
Junjun Hu
Yanhao Zhu
Bo Zhao
Jiexin Zheng
Chenxu Zhao
Xiangyu Zhu
Kangle Wu
Darun Tang
41
2
0
13 Dec 2021
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying
  Ancient Urbanization in the South Central Andes
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes
Jiachen Xu
Junlin Guo
James Zimmer-Dauphinee
Quan Liu
Yuxuan Shi
Zuhayr Asad
D. Mitchell Wilkes
Parker VanValkenburgh
Steven A. Wernke
Yuankai Huo
SSL
41
2
0
13 Dec 2021
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for
  RGB-Infrared Person Re-Identification
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification
Lin Wan
Qianyan Jing
Zongyuan Sun
Chuan Zhang
Zhihang Li
Yehansen Chen
SSL
77
5
0
12 Dec 2021
Revisiting Consistency Regularization for Semi-Supervised Learning
Revisiting Consistency Regularization for Semi-Supervised Learning
Yue Fan
Anna Kukleva
Bernt Schiele
145
67
0
10 Dec 2021
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