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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 / 800 papers shown
Title
Revisiting DETR Pre-training for Object Detection
Revisiting DETR Pre-training for Object Detection
Yan Ma
Weicong Liang
Bo-Ying Chen
Yiduo Hao
Bojian Hou
Xiangyu Yue
Chao Zhang
Yuhui Yuan
VLM
ViT
35
4
0
02 Aug 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLL
OnRL
27
39
0
01 Aug 2023
Large-scale Fully-Unsupervised Re-Identification
Large-scale Fully-Unsupervised Re-Identification
Gabriel Bertocco
Fernanda A. Andaló
Terrance E. Boult
Anderson de Rezende Rocha
28
1
0
26 Jul 2023
Optical Flow boosts Unsupervised Localization and Segmentation
Optical Flow boosts Unsupervised Localization and Segmentation
Xinyu Zhang
Abdeslam Boularias
25
5
0
25 Jul 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution
  Shifts
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
Xiaofeng Mao
YueFeng Chen
Yao Zhu
Da Chen
Hang Su
Rong Zhang
H. Xue
ObjD
OOD
36
18
0
24 Jul 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised
  Learning of Motion and Content Features
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes
Jean Ponce
Yann LeCun
MDE
33
23
0
24 Jul 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly
  Detection
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection
Yujin Lee
Harin Lim
Seoyoon Jang
H. Yoon
24
4
0
24 Jul 2023
Snapshot Spectral Clustering -- a costless approach to deep clustering
  ensembles generation
Snapshot Spectral Clustering -- a costless approach to deep clustering ensembles generation
Adam Piróg
Halina Kwasnicka
27
1
0
17 Jul 2023
The Whole Pathological Slide Classification via Weakly Supervised
  Learning
The Whole Pathological Slide Classification via Weakly Supervised Learning
Qiehe Sun
Jiawen Li
Jin Xu
Junru Cheng
Tian Guan
Yonghong He
29
0
0
12 Jul 2023
Self-supervised adversarial masking for 3D point cloud representation
  learning
Self-supervised adversarial masking for 3D point cloud representation learning
Michal Szachniewicz
Wojciech Kozlowski
Michal Stypulkowski
Maciej Ziȩba
3DPC
16
2
0
11 Jul 2023
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Mohammad Alkhalefi
Georgios Leontidis
Min Zhong
SSL
87
2
0
28 Jun 2023
Inter-Instance Similarity Modeling for Contrastive Learning
Inter-Instance Similarity Modeling for Contrastive Learning
Chen Shen
Dawei Liu
H. Tang
Zhe Qu
Jianxin Wang
SSL
26
4
0
21 Jun 2023
Understanding Contrastive Learning Through the Lens of Margins
Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho
Taesoo Kim
Sooill Park
Jaehyun Park
Jaehan Park
SSL
27
2
0
20 Jun 2023
Joint multi-modal Self-Supervised pre-training in Remote Sensing:
  Application to Methane Source Classification
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification
P. Berg
M. Pham
Nicolas Courty
SSL
25
2
0
16 Jun 2023
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart
Nils Lehmann
Isaac Corley
Yi Wang
Yi-Chia Chang
Nassim Ait Ali Braham
Shradha Sehgal
Caleb Robinson
Arindam Banerjee
27
29
0
15 Jun 2023
Evaluating The Robustness of Self-Supervised Representations to
  Background/Foreground Removal
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal
Xavier F. Cadet
Ranya Aloufi
A. Miranville
S. Ahmadi-Abhari
Hamed Haddadi
16
0
0
02 Jun 2023
F?D: On understanding the role of deep feature spaces on face generation
  evaluation
F?D: On understanding the role of deep feature spaces on face generation evaluation
Krish Kabra
Guha Balakrishnan
EGVM
CVBM
32
0
0
31 May 2023
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
15
30
0
31 May 2023
PaintSeg: Training-free Segmentation via Painting
PaintSeg: Training-free Segmentation via Painting
Xiang Li
Chung-Ching Lin
Yinpeng Chen
Zicheng Liu
Jinglu Wang
Bhiksha Raj
34
5
0
30 May 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning
  and Diffusion Priors
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Paul S. Scotti
Atmadeep Banerjee
J. Goode
Stepan Shabalin
A. Nguyen
...
Nathalie Verlinde
Elad Yundler
David Weisberg
K. A. Norman
Tanishq Mathew Abraham
DiffM
36
106
0
29 May 2023
HyperTime: Hyperparameter Optimization for Combating Temporal
  Distribution Shifts
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts
Shaokun Zhang
Yiran Wu
Zhonghua Zheng
Qingyun Wu
Chi Wang
OOD
43
7
0
28 May 2023
All Points Matter: Entropy-Regularized Distribution Alignment for
  Weakly-supervised 3D Segmentation
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
23
12
0
25 May 2023
Reverse Engineering Self-Supervised Learning
Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul
Ravid Shwartz-Ziv
Tomer Galanti
S. Dekel
Yann LeCun
SSL
15
34
0
24 May 2023
Unsupervised Multi-view Pedestrian Detection
Unsupervised Multi-view Pedestrian Detection
Mengyin Liu
Chao Zhu
Shiqi Ren
Xu-Cheng Yin
29
6
0
21 May 2023
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual
  Representation Learning
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning
Alvzbveta Manová
A. Durrant
Georgios Leontidis
SSL
19
4
0
19 May 2023
From Region to Patch: Attribute-Aware Foreground-Background Contrastive
  Learning for Fine-Grained Fashion Retrieval
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval
Jianfeng Dong
Xi Peng
Zhe Ma
Daizong Liu
Xiaoye Qu
Xun Yang
Jixiang Zhu
Baolong Liu
20
12
0
17 May 2023
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point
  Cloud Pre-Training
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
Xiaoyu Tian
Haoxi Ran
Yue Wang
Hang Zhao
3DPC
ViT
29
38
0
15 May 2023
Controllable Image Generation via Collage Representations
Controllable Image Generation via Collage Representations
Arantxa Casanova
Marlene Careil
Adriana Romero Soriano
Christopher Pal
Jakob Verbeek
M. Drozdzal
DiffM
39
7
0
26 Apr 2023
Self-Supervised Multi-Object Tracking For Autonomous Driving From
  Consistency Across Timescales
Self-Supervised Multi-Object Tracking For Autonomous Driving From Consistency Across Timescales
Christopher Lang
Alexander Braun
Lars Schillingmann
Abhinav Valada
17
5
0
25 Apr 2023
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR
  Semantic Segmentation
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
Cristiano Saltori
Aljovsa Ovsep
Elisa Ricci
Laura Leal-Taixé
22
14
0
23 Apr 2023
Spectral Normalization and Dual Contrastive Regularization for
  Image-to-Image Translation
Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation
Chen Zhao
W. Cai
Zheng Yuan
DiffM
13
11
0
22 Apr 2023
SATA: Source Anchoring and Target Alignment Network for Continual Test
  Time Adaptation
SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation
Goirik Chakrabarty
Manogna Sreenivas
Soma Biswas
TTA
35
5
0
20 Apr 2023
Visual DNA: Representing and Comparing Images using Distributions of
  Neuron Activations
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
Benjamin Ramtoula
Matthew Gadd
Paul Newman
D. Martini
21
10
0
20 Apr 2023
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient
  Representation Learning
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning
Takumi Nakagawa
Y. Sanada
Hiroki Waida
Yuhui Zhang
Yuichiro Wada
K. Takanashi
Tomonori Yamada
Takafumi Kanamori
DiffM
19
5
0
19 Apr 2023
Masked Pre-Training of Transformers for Histology Image Analysis
Masked Pre-Training of Transformers for Histology Image Analysis
Shuai Jiang
Liesbeth Hondelink
A. Suriawinata
Saeed Hassanpour
MedIm
26
13
0
14 Apr 2023
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic
  Segmentation
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation
Alexander Koenig
Maximilian Schambach
Johannes Otterbach
19
6
0
14 Apr 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLM
CLIP
SSL
101
3,017
0
14 Apr 2023
In-Distribution and Out-of-Distribution Self-supervised ECG
  Representation Learning for Arrhythmia Detection
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
S. Soltanieh
J. Hashemi
Ali Etemad
21
11
0
13 Apr 2023
NoisyTwins: Class-Consistent and Diverse Image Generation through
  StyleGANs
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs
Harsh Rangwani
Lavish Bansal
Kartik Sharma
Tejan Karmali
Varun Jampani
R. Venkatesh Babu
20
13
0
12 Apr 2023
A surprisingly simple technique to control the pretraining bias for
  better transfer: Expand or Narrow your representation
A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation
Florian Bordes
Samuel Lavoie
Randall Balestriero
Nicolas Ballas
Pascal Vincent
SSL
32
5
0
11 Apr 2023
Application of Self-Supervised Learning to MICA Model for Reconstructing
  Imperfect 3D Facial Structures
Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structures
P. D. Nguyen
Thinh D. Le
Duong Q. Nguyen
Binh Duc Nguyen
H. Nguyen-Xuan
18
1
0
08 Apr 2023
Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic
  Complexity in Verb Acquisition
Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic Complexity in Verb Acquisition
Yuchen Zhou
Michael J. Tarr
Daniel Yurovsky
11
2
0
05 Apr 2023
Self-Supervised Siamese Autoencoders
Self-Supervised Siamese Autoencoders
Friederike Baier
Sebastian Mair
Samuel G. Fadel
SSL
42
4
0
05 Apr 2023
Revisiting the Evaluation of Image Synthesis with GANs
Revisiting the Evaluation of Image Synthesis with GANs
Mengping Yang
Ceyuan Yang
Yichi Zhang
Qingyan Bai
Yujun Shen
Bo Dai
EGVM
27
7
0
04 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised
  Learning
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
Ajinkya Tejankar
Maziar Sanjabi
Qifan Wang
Sinong Wang
Hamed Firooz
Hamed Pirsiavash
L Tan
AAML
28
19
0
04 Apr 2023
Constructive Assimilation: Boosting Contrastive Learning Performance
  through View Generation Strategies
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Ligong Han
Seung-Jun Han
Shivchander Sudalairaj
Charlotte Loh
Rumen Dangovski
...
Pulkit Agrawal
Dimitris N. Metaxas
Leonid Karlinsky
Tsui-Wei Weng
Akash Srivastava
21
1
0
02 Apr 2023
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
Ximeng Sun
Pengchuan Zhang
Peizhao Zhang
Hardik Shah
Kate Saenko
Xide Xia
VLM
18
20
0
31 Mar 2023
INoD: Injected Noise Discriminator for Self-Supervised Representation
  Learning in Agricultural Fields
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel
Nikhil Gosala
Kevin Bregler
Abhinav Valada
24
6
0
31 Mar 2023
Kaizen: Practical Self-supervised Continual Learning with Continual
  Fine-tuning
Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Cecilia Mascolo
Akhil Mathur
CLL
22
10
0
30 Mar 2023
Soft Neighbors are Positive Supporters in Contrastive Visual
  Representation Learning
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Chongjian Ge
Jiangliu Wang
Zhan Tong
Shoufa Chen
Yibing Song
Ping Luo
SSL
22
27
0
30 Mar 2023
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