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Self-labelling via simultaneous clustering and representation learning

Self-labelling via simultaneous clustering and representation learning

13 November 2019
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
    SSL
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Papers citing "Self-labelling via simultaneous clustering and representation learning"

50 / 197 papers shown
Title
Learning Visual Representations via Language-Guided Sampling
Learning Visual Representations via Language-Guided Sampling
Mohamed El Banani
Karan Desai
Justin Johnson
SSL
VLM
21
28
0
23 Feb 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of
  Self-Supervision, Reconstruction, Projector Head
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
Randall Balestriero
38
3
0
20 Feb 2023
Cut and Learn for Unsupervised Object Detection and Instance
  Segmentation
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Xudong Wang
Rohit Girdhar
Stella X. Yu
Ishan Misra
VLM
59
162
0
26 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
VLM
46
9
0
12 Jan 2023
Combining Self-labeling with Selective Sampling
Combining Self-labeling with Selective Sampling
Jedrzej Kozal
Michal Wo'zniak
26
3
0
11 Jan 2023
Learning the Relation between Similarity Loss and Clustering Loss in
  Self-Supervised Learning
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
Jidong Ge
YuXiang Liu
Jie Gui
Lanting Fang
Ming Lin
James T. Kwok
LiGuo Huang
B. Luo
SSL
22
5
0
08 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised
  Learning
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
20
9
0
27 Dec 2022
Audiovisual Masked Autoencoders
Audiovisual Masked Autoencoders
Mariana-Iuliana Georgescu
Eduardo Fonseca
Radu Tudor Ionescu
Mario Lucic
Cordelia Schmid
Anurag Arnab
SSL
37
43
0
09 Dec 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
38
12
0
27 Nov 2022
Reason from Context with Self-supervised Learning
Reason from Context with Self-supervised Learning
Xinyu Liu
Ankur Sikarwar
Gabriel Kreiman
Zenglin Shi
Mengmi Zhang
ReLM
LRM
32
1
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
38
67
0
21 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
29
15
0
18 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
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
24
60
0
31 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
40
3
0
30 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 Learning via Maximum Entropy Coding
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
29
40
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
33
10
0
19 Oct 2022
Towards Efficient and Effective Self-Supervised Learning of Visual
  Representations
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
Sravanti Addepalli
Kaushal Bhogale
Priyam Dey
R. Venkatesh Babu
SSL
18
8
0
18 Oct 2022
Motion Aware Self-Supervision for Generic Event Boundary Detection
Motion Aware Self-Supervision for Generic Event Boundary Detection
Ayush K. Rai
Tarun Krishna
J. Dietlmeier
Kevin McGuinness
Alan F. Smeaton
Noel E. O'Connor
34
2
0
11 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
40
3
0
07 Oct 2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud
  Understanding
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Guofeng Mei
Cristiano Saltori
Fabio Poiesi
Jian Zhang
Elisa Ricci
N. Sebe
Qiang Wu
3DPC
59
5
0
06 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
41
117
0
05 Oct 2022
The Geometry of Self-supervised Learning Models and its Impact on
  Transfer Learning
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning
Romain Cosentino
Sarath Shekkizhar
Mahdi Soltanolkotabi
A. Avestimehr
Antonio Ortega
SSL
56
7
0
18 Sep 2022
Gromov-Wasserstein Autoencoders
Gromov-Wasserstein Autoencoders
Nao Nakagawa
Ren Togo
Takahiro Ogawa
Miki Haseyama
GAN
DRL
26
11
0
15 Sep 2022
ScaTE: A Scalable Framework for Self-Supervised Traversability
  Estimation in Unstructured Environments
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
Junwon Seo
Taekyung Kim
K. Kwak
Jihong Min
Inwook Shim
39
34
0
14 Sep 2022
Improving Self-Supervised Learning by Characterizing Idealized
  Representations
Improving Self-Supervised Learning by Characterizing Idealized Representations
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Percy Liang
SSL
83
40
0
13 Sep 2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Generalized Intent Discovery: Learning from Open World Dialogue System
Yutao Mou
Keqing He
Yanan Wu
Pei Wang
Jingang Wang
Wei Wu
Y. Huang
Junlan Feng
Weiran Xu
37
8
0
13 Sep 2022
MORI-RAN: Multi-view Robust Representation Learning via Hybrid
  Contrastive Fusion
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion
Guanzhou Ke
Yong-Nan Zhu
Yang Yu
37
7
0
26 Aug 2022
Learning crop type mapping from regional label proportions in
  large-scale SAR and optical imagery
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery
L. E. L. Rosa
Dario Augusto Borges Oliveira
Pedram Ghamisi
34
7
0
24 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
113
0
24 Aug 2022
RAIN: RegulArization on Input and Network for Black-Box Domain
  Adaptation
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation
Qucheng Peng
Zhengming Ding
Lingjuan Lyu
Lichao Sun
Chen Chen
OOD
MLAU
29
18
0
22 Aug 2022
SdAE: Self-distillated Masked Autoencoder
SdAE: Self-distillated Masked Autoencoder
Yabo Chen
Yuchen Liu
Dongsheng Jiang
Xiaopeng Zhang
Wenrui Dai
H. Xiong
Qi Tian
ViT
26
70
0
31 Jul 2022
Adaptive Soft Contrastive Learning
Adaptive Soft Contrastive Learning
Chen Feng
Ioannis Patras
SSL
25
19
0
22 Jul 2022
Novel Class Discovery without Forgetting
Novel Class Discovery without Forgetting
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
CLL
54
43
0
21 Jul 2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
22
75
0
14 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
M-U Jang
Sae-Young Chung
Hye Won Chung
OOD
TTA
41
56
0
08 Jul 2022
Towards Realistic Semi-Supervised Learning
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
49
44
0
05 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
Fahad Shahbaz Khan
M. Shah
42
49
0
05 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
...
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
28
42
0
01 Jul 2022
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
Chuyu Zhang
Chuanyan Hu
Ruijie Xu
Zhitong Gao
Qian He
Xuming He
20
4
0
24 Jun 2022
OmniMAE: Single Model Masked Pretraining on Images and Videos
OmniMAE: Single Model Masked Pretraining on Images and Videos
Rohit Girdhar
Alaaeldin El-Nouby
Mannat Singh
Kalyan Vasudev Alwala
Armand Joulin
Ishan Misra
ViT
37
97
0
16 Jun 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
M. Gwilliam
Abhinav Shrivastava
SSL
79
19
1
16 Jun 2022
Discovering Object Masks with Transformers for Unsupervised Semantic
  Segmentation
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
Wouter Van Gansbeke
Simon Vandenhende
Luc Van Gool
44
55
0
13 Jun 2022
From Keypoints to Object Landmarks via Self-Training Correspondence: A
  novel approach to Unsupervised Landmark Discovery
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery
Dimitrios Mallis
Enrique Sanchez
Matt Bell
Georgios Tzimiropoulos
SSL
3DPC
43
6
0
31 May 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang
Xiangyu Peng
Kaidi Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
32
27
0
28 May 2022
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
Ekim Yurtsever
Emecc Erccelik
Ming Liu
Zhijie Yang
Hanzhen Zhang
Pinar Topccam
Maximilian Listl
Yilmaz Kaan cCayli
Alois C. Knoll
3DPC
14
25
0
02 May 2022
Contrastive Test-Time Adaptation
Contrastive Test-Time Adaptation
Dian Chen
Dequan Wang
Trevor Darrell
Sayna Ebrahimi
TTA
31
257
0
21 Apr 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized
  Zero Shot Medical Image Classification
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification
Dwarikanath Mahapatra
MedIm
20
2
0
04 Apr 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Corentin Sautier
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Andrei Bursuc
Renaud Marlet
3DPC
26
117
0
30 Mar 2022
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