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Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

17 June 2020
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
    OCL
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments"

50 / 851 papers shown
Title
Learning useful representations for shifting tasks and distributions
Learning useful representations for shifting tasks and distributions
Jianyu Zhang
Léon Bottou
OOD
34
13
0
14 Dec 2022
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
Benjin Zhu
Zhe Wang
Shaoshuai Shi
Hang Xu
Lanqing Hong
Hongsheng Li
16
24
0
14 Dec 2022
Establishing a stronger baseline for lightweight contrastive models
Establishing a stronger baseline for lightweight contrastive models
Wenye Lin
Yifeng Ding
Zhixiong Cao
Haitao Zheng
25
2
0
14 Dec 2022
Decoding natural image stimuli from fMRI data with a surface-based
  convolutional network
Decoding natural image stimuli from fMRI data with a surface-based convolutional network
Zijin Gu
K. Jamison
Amy Kuceyeski
M. Sabuncu
20
43
0
05 Dec 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised
  Representation: Applications on Natural and Medical Images
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images
Hongwei Bran Li
Chinmay Prabhakar
Suprosanna Shit
Johannes C. Paetzold
Tamaz Amiranashvili
Jianguo Zhang
Daniel Rueckert
Juan Eugenio Iglesias
Benedikt Wiestler
Bjoern H. Menze
OOD
SSL
27
2
0
03 Dec 2022
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for
  Multivariate Time Series
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
Qianwen Meng
Hangwei Qian
Yong Liu
Li-zhen Cui
Yonghui Xu
Zhiqi Shen
AI4TS
23
33
0
02 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
40
10
0
01 Dec 2022
Deep Semi-supervised Learning with Double-Contrast of Features and
  Semantics
Deep Semi-supervised Learning with Double-Contrast of Features and Semantics
Quan Feng
Jiayu Yao
Zhisong Pan
Guojun Zhou
18
0
0
28 Nov 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot
  Category Generalization
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
Stefan Stojanov
Anh Thai
Zixuan Huang
James M. Rehg
24
1
0
28 Nov 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training
  Towards Enhanced Recognition of Biomedical Microscopy Images
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images
Wei Chen
Chen Li
Dan Chen
Xin Luo
MedIm
SSL
30
12
0
27 Nov 2022
A Unified Framework for Contrastive Learning from a Perspective of
  Affinity Matrix
A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix
Wenbin Li
Meihao Kong
Xuesong Yang
Lei Wang
Jing Huo
Yang Gao
Jiebo Luo
30
0
0
26 Nov 2022
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for
  Urban-Scene Segmentation
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation
Liang Zeng
A. Lengyel
Nergis Tomen
J. C. V. Gemert
AI4TS
21
0
0
25 Nov 2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Arsh Verma
Makarand Tapaswi
SSL
25
3
0
23 Nov 2022
Parametric Classification for Generalized Category Discovery: A Baseline
  Study
Parametric Classification for Generalized Category Discovery: A Baseline Study
Xin Wen
Bingchen Zhao
Xiaojuan Qi
35
67
0
21 Nov 2022
Contrastive Masked Autoencoders for Self-Supervised Video Hashing
Contrastive Masked Autoencoders for Self-Supervised Video Hashing
Yuting Wang
Jinpeng Wang
B. Chen
Ziyun Zeng
Shutao Xia
29
20
0
21 Nov 2022
Multi-scale Digital Twin: Developing a fast and physics-informed
  surrogate model for groundwater contamination with uncertain climate models
Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models
Lijing Wang
Takuya Kurihana
Aurelien O Meray
Ilijana Mastilovic
Satyarth Praveen
Zexuan Xu
Milad Memarzadeh
Alexander Lavin
H. Wainwright
AI4Cl
AI4CE
21
1
0
20 Nov 2022
CroCo v2: Improved Cross-view Completion Pre-training for Stereo
  Matching and Optical Flow
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow
Philippe Weinzaepfel
Thomas Lucas
Vincent Leroy
Yohann Cabon
Vaibhav Arora
Romain Brégier
G. Csurka
L. Antsfeld
Boris Chidlovskii
Jérôme Revaud
ViT
20
81
0
18 Nov 2022
Weighted Ensemble Self-Supervised Learning
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan
Saurabh Singh
Warren Morningstar
Alexander A. Alemi
Sergey Ioffe
Ian S. Fischer
Joshua V. Dillon
FedML
24
15
0
18 Nov 2022
Self-Supervised Visual Representation Learning via Residual Momentum
Self-Supervised Visual Representation Learning via Residual Momentum
T. Pham
Axi Niu
Zhang Kang
Sultan Rizky Hikmawan Madjid
Jiajing Hong
Daehyeok Kim
Joshua Tian Jin Tee
Chang-Dong Yoo
SSL
46
6
0
17 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer
Alexander Bartler
Bin Yang
SSeg
16
18
0
16 Nov 2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
41
152
0
16 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory
Anomaly Detection via Multi-Scale Contrasted Memory
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
27
0
0
16 Nov 2022
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive
  Learning
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
Jinghuai Zhang
Hongbin Liu
Jinyuan Jia
Neil Zhenqiang Gong
AAML
35
20
0
15 Nov 2022
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
Nikola Djukic
A. Lukežič
Vitjan Zavrtanik
Matej Kristan
14
45
0
15 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
24
56
0
15 Nov 2022
False: False Negative Samples Aware Contrastive Learning for Semantic
  Segmentation of High-Resolution Remote Sensing Image
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image
Zhaoyang Zhang
Xuying Wang
X. Mei
Chao Tao
Haifeng Li
21
20
0
15 Nov 2022
On minimal variations for unsupervised representation learning
On minimal variations for unsupervised representation learning
Vivien A. Cabannes
A. Bietti
Randall Balestriero
SSL
DRL
25
8
0
07 Nov 2022
Contrastive Classification and Representation Learning with
  Probabilistic Interpretation
Contrastive Classification and Representation Learning with Probabilistic Interpretation
Rahaf Aljundi
Yash J. Patel
Milan Šulc
Daniel Olmeda
N. Chumerin
SSL
31
5
0
07 Nov 2022
Local Manifold Augmentation for Multiview Semantic Consistency
Local Manifold Augmentation for Multiview Semantic Consistency
Yu Yang
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
31
1
0
05 Nov 2022
Neural Systematic Binder
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
32
36
0
02 Nov 2022
Augmentation Invariant Manifold Learning
Augmentation Invariant Manifold Learning
Shulei Wang
33
1
0
01 Nov 2022
Pixel-Wise Contrastive Distillation
Pixel-Wise Contrastive Distillation
Junqiang Huang
Zichao Guo
37
4
0
01 Nov 2022
Unified Optimal Transport Framework for Universal Domain Adaptation
Unified Optimal Transport Framework for Universal Domain Adaptation
Wanxing Chang
Ye Shi
H. Tuan
Jingya Wang
OT
16
60
0
31 Oct 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
43
30
0
30 Oct 2022
SL3D: Self-supervised-Self-labeled 3D Recognition
SL3D: Self-supervised-Self-labeled 3D Recognition
Fernando Julio Cendra
Lan Ma
Jiajun Shen
Xiaojuan Qi
3DPC
32
3
0
30 Oct 2022
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation
Seongyeong Lee
Han-Ju Park
Dong Uk Kim
Jihyeon Kim
Muhammadjon Boboev
Seungryul Baek
3DH
21
5
0
30 Oct 2022
Do Pre-trained Models Benefit Equally in Continual Learning?
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee
Yuanyi Zhong
Yu-xiong Wang
CLL
24
27
0
27 Oct 2022
Conversation Disentanglement with Bi-Level Contrastive Learning
Conversation Disentanglement with Bi-Level Contrastive Learning
Chengyu Huang
Zheng Zhang
Hao Fei
Lizi Liao
DRL
27
7
0
27 Oct 2022
Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models
Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models
Chaofan Ma
Yu-Hao Yang
Yanfeng Wang
Ya-Qin Zhang
Weidi Xie
VLM
23
48
0
27 Oct 2022
From Points to Functions: Infinite-dimensional Representations in
  Diffusion Models
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Sarthak Mittal
Guillaume Lajoie
Stefan Bauer
Arash Mehrjou
DiffM
34
30
0
25 Oct 2022
The Robustness Limits of SoTA Vision Models to Natural Variation
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim
Q. Garrido
Ari S. Morcos
Diane Bouchacourt
VLM
38
16
0
24 Oct 2022
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised
  Object Discovery with Transformers
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers
Zhiwei Lin
Ze Yang
Yongtao Wang
ViT
31
2
0
24 Oct 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease
  Classification
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao
Yutong Bai
Alan Yuille
Zongwei Zhou
MedIm
ViT
35
58
0
23 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
23
8
0
23 Oct 2022
Self-Supervised Pretraining on Satellite Imagery: a Case Study on
  Label-Efficient Vehicle Detection
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Jules Bourcier
Thomas Floquet
G. Dashyan
Tugdual Ceillier
Alahari Karteek
Jocelyn Chanussot
SSL
28
1
0
21 Oct 2022
Self-Supervised Learning via Maximum Entropy Coding
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
24
40
0
20 Oct 2022
Towards Sustainable Self-supervised Learning
Towards Sustainable Self-supervised Learning
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
CLL
40
7
0
20 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
35
8
0
20 Oct 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic
  Retinopathy Grading
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
Yijin Huang
Junyan Lyu
Pujin Cheng
Roger Tam
Xiaoying Tang
ViT
MedIm
19
20
0
20 Oct 2022
Learning to Discover and Detect Objects
Learning to Discover and Detect Objects
V. Fomenko
Ismail Elezi
Deva Ramanan
Laura Leal-Taixé
Aljosa Osep
ObjD
31
10
0
19 Oct 2022
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