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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
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
14
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
206
117
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
40
23
0
25 Jan 2022
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
30
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
21
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
22
42
0
24 Jan 2022
Learning Graph Augmentations to Learn Graph Representations
Learning Graph Augmentations to Learn Graph Representations
Kaveh Hassani
Amir Hosein Khas Ahmadi
56
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
24
1
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
35
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
30
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
40
123
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
32
34
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
SSL
VLM
32
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
OOD
MedIm
14
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
40
127
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
40
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
39
1
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
35
118
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
29
103
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
16
24
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
34
101
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
16
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
23
19
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
16
68
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
38
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
19
8
0
31 Dec 2021
Self Reward Design with Fine-grained Interpretability
Self Reward Design with Fine-grained Interpretability
Erico Tjoa
G. Cuntai
27
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
CLL
SSL
28
37
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
22
202
0
29 Dec 2021
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
VLM
41
0
0
26 Dec 2021
Disentanglement by Cyclic Reconstruction
Disentanglement by Cyclic Reconstruction
David Bertoin
Emmanuel Rachelson
OOD
21
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
25
7
0
23 Dec 2021
Cooperative learning for multiview analysis
Cooperative learning for multiview analysis
D. Ding
Shuangning Li
B. Narasimhan
Robert Tibshirani
10
48
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
PINN
AI4CE
225
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
30
30
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
30
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
27
150
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
BDL
UQCV
29
145
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
S. Clinchant
NoLa
VLM
27
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
13
14
0
19 Dec 2021
Image Segmentation Using Text and Image Prompts
Image Segmentation Using Text and Image Prompts
Timo Lüddecke
Alexander S. Ecker
CLIP
VLM
25
457
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
25
61
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
100
655
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
29
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
43
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
SSL
AI4TS
22
16
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
26
34
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
19
23
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
39
12
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
22
2
0
13 Dec 2021
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