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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
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
24
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
17
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
30
59
0
10 Dec 2021
Contextualized Spatio-Temporal Contrastive Learning with
  Self-Supervision
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision
Liangzhe Yuan
Rui Qian
Huayu Chen
Boqing Gong
Florian Schroff
Ming-Hsuan Yang
Hartwig Adam
Ting Liu
AI4TS
30
15
0
09 Dec 2021
Exploring the Equivalence of Siamese Self-Supervised Learning via A
  Unified Gradient Framework
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Chenxin Tao
Honghui Wang
Xizhou Zhu
Jiahua Dong
S. Song
Gao Huang
Jifeng Dai
SSL
44
60
0
09 Dec 2021
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and
  Segmentation
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation
Lu Qi
Jason Kuen
Zhe Lin
Jiuxiang Gu
Fengyun Rao
Dian Li
Weidong Guo
Zhen Wen
Ming-Hsuan Yang
Jiaya Jia
27
9
0
09 Dec 2021
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge
  Graph Embeddings
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
Zhiping Luo
W. Xu
Weiqing Liu
Jiang Bian
Jian Yin
Tie-Yan Liu
27
6
0
09 Dec 2021
DR3: Value-Based Deep Reinforcement Learning Requires Explicit
  Regularization
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar
Rishabh Agarwal
Tengyu Ma
Aaron Courville
George Tucker
Sergey Levine
OffRL
31
65
0
09 Dec 2021
Dual Cluster Contrastive learning for Object Re-Identification
Dual Cluster Contrastive learning for Object Re-Identification
Hantao Yao
Changsheng Xu
22
6
0
09 Dec 2021
Constrained Mean Shift Using Distant Yet Related Neighbors for
  Representation Learning
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
K. Navaneet
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Kossar Pourahmadi
Akshayvarun Subramanya
Hamed Pirsiavash
SSL
40
8
0
08 Dec 2021
Self-Supervised Speaker Verification with Simple Siamese Network and
  Self-Supervised Regularization
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
Mufan Sang
Haoqi Li
F. Liu
Andrew O. Arnold
Li Wan
SSL
16
40
0
08 Dec 2021
Contrastive Learning with Large Memory Bank and Negative Embedding
  Subtraction for Accurate Copy Detection
Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection
Shuhei Yokoo
SSL
40
24
0
08 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDL
CLL
SSL
55
161
0
08 Dec 2021
Boosting Contrastive Learning with Relation Knowledge Distillation
Boosting Contrastive Learning with Relation Knowledge Distillation
Kai Zheng
Yuanjiang Wang
Ye Yuan
SSL
19
13
0
08 Dec 2021
Contrastive Instruction-Trajectory Learning for Vision-Language
  Navigation
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
Xiwen Liang
Fengda Zhu
Yi Zhu
Bingqian Lin
Bing Wang
Xiaodan Liang
27
23
0
08 Dec 2021
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
Youngjune Lee
Oh Joon Kwon
Haejun Lee
Joonyoung Kim
Kangwook Lee
Kee-Eung Kim
22
9
0
07 Dec 2021
BT-Unet: A self-supervised learning framework for biomedical image
  segmentation using Barlow Twins with U-Net models
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn
Sonali Agarwal
SSL
35
35
0
07 Dec 2021
Time-Equivariant Contrastive Video Representation Learning
Time-Equivariant Contrastive Video Representation Learning
Simon Jenni
Hailin Jin
SSL
AI4TS
143
60
0
07 Dec 2021
CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification
CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification
Huidong Liu
Shaoyuan Xu
Jinmiao Fu
Yang Liu
Ning Xie
Chien Wang
Bryan Wang
Yi Sun
CLIP
VLM
32
27
0
07 Dec 2021
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D
  Scene Understanding
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding
Yujin Chen
Matthias Nießner
Angela Dai
3DPC
108
57
0
06 Dec 2021
A Tale of Color Variants: Representation and Self-Supervised Learning in
  Fashion E-Commerce
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce
U. Dutta
Sandeep Repakula
Maulik Parmar
Abhinav Ravi
OOD
30
3
0
06 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
140
81
0
06 Dec 2021
VarCLR: Variable Semantic Representation Pre-training via Contrastive
  Learning
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Qibin Chen
Jeremy Lacomis
Edward J. Schwartz
Graham Neubig
Bogdan Vasilescu
Claire Le Goues
VLM
24
35
0
05 Dec 2021
Augmentation-Free Self-Supervised Learning on Graphs
Augmentation-Free Self-Supervised Learning on Graphs
Namkyeong Lee
Junseok Lee
Chanyoung Park
62
203
0
05 Dec 2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains
Unsupervised Domain Generalization by Learning a Bridge Across Domains
Sivan Harary
Eli Schwartz
Assaf Arbelle
Peter W. J. Staar
Shady Abu Hussein
...
Hildegard Kuehne
Dina Katabi
Kate Saenko
Rogerio Feris
Leonid Karlinsky
OOD
27
40
0
04 Dec 2021
Ablation study of self-supervised learning for image classification
Ablation study of self-supervised learning for image classification
Ilias Papastratis
SSL
29
1
0
04 Dec 2021
Interactive Disentanglement: Learning Concepts by Interacting with their
  Prototype Representations
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Wolfgang Stammer
Marius Memmel
P. Schramowski
Kristian Kersting
98
26
0
04 Dec 2021
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic
  Segmentation
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation
Zhao-Heng Yin
Pichao Wang
Fan Wang
Xianzhe Xu
Hanling Zhang
Hao Li
Rong Jin
41
39
0
02 Dec 2021
Contrastive Adaptive Propagation Graph Neural Networks for Efficient
  Graph Learning
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning
Jun Hu
Shengsheng Qian
Quan Fang
Changsheng Xu
GNN
21
0
0
02 Dec 2021
Extract Free Dense Labels from CLIP
Extract Free Dense Labels from CLIP
Chong Zhou
Chen Change Loy
Bo Dai
VLM
CLIP
61
457
0
02 Dec 2021
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data
  via Generative Bias-transformation
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
Yeonsung Jung
Hajin Shim
J. Yang
Eunho Yang
31
8
0
02 Dec 2021
Vision Pair Learning: An Efficient Training Framework for Image
  Classification
Vision Pair Learning: An Efficient Training Framework for Image Classification
Bei Tong
Xiaoyuan Yu
ViT
25
0
0
02 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Oindrila Saha
Zezhou Cheng
Subhransu Maji
47
17
0
01 Dec 2021
CLAWS: Contrastive Learning with hard Attention and Weak Supervision
CLAWS: Contrastive Learning with hard Attention and Weak Supervision
Jansel Herrera-Gerena
Ramakrishnan Sundareswaran
John Just
Matthew J. Darr
Ali Jannesari
SSL
43
2
0
01 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP
  Perspective
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
Yizhou Wang
Shixiang Tang
Feng Zhu
Lei Bai
Rui Zhao
Donglian Qi
Wanli Ouyang
37
51
0
01 Dec 2021
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
26
22
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
38
22
0
01 Dec 2021
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image
  Editing
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing
Jing Shi
Ning Xu
Haitian Zheng
Alex Smith
Jiebo Luo
Chenliang Xu
KELM
DiffM
44
4
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
37
26
0
30 Nov 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
19
17
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
43
25
0
29 Nov 2021
Weakly-supervised Generative Adversarial Networks for medical image
  classification
Weakly-supervised Generative Adversarial Networks for medical image classification
Jia-min Mao
Xuesong Yin
Yuan Chang
Qi Huang
GAN
MedIm
19
1
0
29 Nov 2021
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with
  Semi-Supervised Learning and Explicit Policy Injection
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Wanwei He
Yinpei Dai
Yinhe Zheng
Yuchuan Wu
Zhen Cao
...
Min Yang
Feiling Huang
Luo Si
Jian Sun
Yongbin Li
VLM
34
157
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
21
30
0
29 Nov 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Tianhong Li
Peng Cao
Yuan. Yuan
Lijie Fan
Yuzhe Yang
Rogerio Feris
Piotr Indyk
Dina Katabi
48
176
0
27 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
49
50
0
27 Nov 2021
Weakly-guided Self-supervised Pretraining for Temporal Activity
  Detection
Weakly-guided Self-supervised Pretraining for Temporal Activity Detection
Kumara Kahatapitiya
Zhou Ren
Haoxiang Li
Zhenyu Wu
Michael S. Ryoo
G. Hua
ViT
28
6
0
26 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
SSL
VLM
34
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
SSL
MedIm
36
54
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
16
13
0
26 Nov 2021
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