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2204.07141
Cited By
Masked Siamese Networks for Label-Efficient Learning
14 April 2022
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
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Papers citing
"Masked Siamese Networks for Label-Efficient Learning"
50 / 226 papers shown
Title
Fine tuning Pre trained Models for Robustness Under Noisy Labels
Sumyeong Ahn
Sihyeon Kim
Jongwoo Ko
SeYoung Yun
AAML
NoLa
32
5
0
24 Oct 2023
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Tai-Yu Pan
Chenyang Ma
Tianle Chen
Cheng Perng Phoo
Katie Z Luo
Yurong You
Mark E. Campbell
Kilian Q. Weinberger
B. Hariharan
Wei-Lun Chao
3DPC
25
4
0
23 Oct 2023
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim
Sanghyuk Chun
Byeongho Heo
Dongyoon Han
SSL
42
1
0
20 Oct 2023
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology
Jeremy Lai
Faruk Ahmed
Supriya Vijay
Tiam Jaroensri
Jessica Loo
...
Jonathan Krause
Yun-hui Liu
Po-Hsuan Cameron Chen
Ellery Wulczyn
David F. Steiner
38
7
0
20 Oct 2023
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
Oriane Siméoni
Éloi Zablocki
Spyros Gidaris
Gilles Puy
Patrick Pérez
29
10
0
19 Oct 2023
Causal Unsupervised Semantic Segmentation
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
33
18
0
11 Oct 2023
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
Mingming Zhang
Qingjie Liu
Yunhong Wang
32
5
0
28 Sep 2023
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
Zhi-Yi Chin
Chieh-Ming Jiang
Ching-Chun Huang
Pin-Yu Chen
Wei-Chen Chiu
SSL
29
0
0
22 Sep 2023
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
Z. Zang
Hao Luo
Kaidi Wang
Panpan Zhang
F. Wang
Stan. Z Li
Yang You
27
5
0
10 Sep 2023
Vision-Based Traffic Accident Detection and Anticipation: A Survey
Jianwu Fang
Jiahuan Qiao
Jianru Xue
Zhengguo Li
21
26
0
30 Aug 2023
Enhancing Landmark Detection in Cluttered Real-World Scenarios with Vision Transformers
Mohammad Javad Rajabi
Morteza Mirzai
A. Nickabadi
ViT
32
0
0
25 Aug 2023
Self-Supervised Learning for Endoscopic Video Analysis
Roy Hirsch
Mathilde Caron
Regev Cohen
Amir Livne
Ron Shapiro
Tomer Golany
Roman Goldenberg
Daniel Freedman
Ehud Rivlin
SSL
36
16
0
23 Aug 2023
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rype'sć
Daniel Marczak
Sebastian Cygert
Tomasz Trzciñski
Bartlomiej Twardowski
VLM
CLL
33
2
0
23 Aug 2023
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations
Mohammadreza Salehi
E. Gavves
Cees G. M. Snoek
Yuki M. Asano
VOS
32
19
0
22 Aug 2023
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Jiantao Wu
Shentong Mo
Muhammad Awais
Sara Atito
Zhenhua Feng
J. Kittler
VLM
27
4
0
22 Aug 2023
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision
P. Singh
Jacopo Cirrone
OOD
SSL
27
2
0
19 Aug 2023
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
Omer Veysel Cagatan
Barış Akgün
BDL
OffRL
35
3
0
08 Aug 2023
Feature-Suppressed Contrast for Self-Supervised Food Pre-training
Xinda Liu
Yaohui Zhu
Linhu Liu
Jiang Tian
Lili Wang
SSL
33
2
0
07 Aug 2023
A Multidimensional Analysis of Social Biases in Vision Transformers
Jannik Brinkmann
Paul Swoboda
Christian Bartelt
22
6
0
03 Aug 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes
Jean Ponce
Yann LeCun
MDE
36
23
0
24 Jul 2023
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Spyros Gidaris
Andrei Bursuc
Oriane Siméoni
Antonín Vobecký
N. Komodakis
Matthieu Cord
Patrick Pérez
SSL
ViT
24
3
0
18 Jul 2023
Diffusion Models Beat GANs on Image Classification
Soumik Mukhopadhyay
M. Gwilliam
Vatsal Agarwal
Namitha Padmanabhan
A. Swaminathan
Srinidhi Hegde
Dinesh Manocha
Abhinav Shrivastava
DiffM
29
45
1
17 Jul 2023
Continual Learners are Incremental Model Generalizers
Jaehong Yoon
Sung Ju Hwang
Yu Cao
CLL
33
5
0
21 Jun 2023
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
39
25
0
13 Jun 2023
FLSL: Feature-level Self-supervised Learning
Qing Su
Anton Netchaev
Hai Helen Li
Shihao Ji
27
4
0
09 Jun 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian
Chenxin Tao
Jifeng Dai
Hao Li
Ziheng Li
Lewei Lu
Xiaogang Wang
Hongsheng Li
Gao Huang
Xizhou Zhu
DiffM
25
9
0
08 Jun 2023
R-MAE: Regions Meet Masked Autoencoders
Duy-Kien Nguyen
Vaibhav Aggarwal
Yanghao Li
Martin R. Oswald
Alexander Kirillov
Cees G. M. Snoek
Xinlei Chen
TPM
34
11
0
08 Jun 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
OCL
23
38
0
07 Jun 2023
Asymmetric Patch Sampling for Contrastive Learning
Chen Shen
Jianzhong Chen
Shu Wang
Hulin Kuang
Jin Liu
Jianxin Wang
SSL
33
4
0
05 Jun 2023
Contextual Vision Transformers for Robust Representation Learning
Yu Bao
Theofanis Karaletsos
ViT
26
13
0
30 May 2023
Instance-based Max-margin for Practical Few-shot Recognition
Minghao Fu
Kevin Zhu
Jianxin Wu
35
2
0
27 May 2023
Benchmarking Diverse-Modal Entity Linking with Generative Models
Sijia Wang
A. Li
He Zhu
Shenmin Zhang
Chung-Wei Hang
...
William Wang
Zhiguo Wang
Vittorio Castelli
Bing Xiang
Patrick K. L. Ng
VLM
43
8
0
27 May 2023
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Lu Yuan
Zicheng Liu
Youzuo Lin
26
2
0
25 May 2023
Siamese Masked Autoencoders
Agrim Gupta
Jiajun Wu
Jia Deng
Li Fei-Fei
38
49
0
23 May 2023
Training Transitive and Commutative Multimodal Transformers with LoReTTa
Manuel Tran
Yashin Dicente Cid
Amal Lahiani
Fabian J. Theis
Tingying Peng
Eldad Klaiman
26
2
0
23 May 2023
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes
A. Durrant
Georgios Leontidis
SSL
32
4
0
18 May 2023
Incremental Generalized Category Discovery
Bingchen Zhao
Oisin Mac Aodha
CLL
45
12
0
27 Apr 2023
Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations
Shashank Shekhar
Florian Bordes
Pascal Vincent
Ari S. Morcos
26
10
0
25 Apr 2023
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDa
FedML
SSL
44
273
0
24 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
44
1
0
21 Apr 2023
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Johannes Lehner
Benedikt Alkin
Andreas Fürst
Elisabeth Rumetshofer
Lukas Miklautz
Sepp Hochreiter
26
18
0
20 Apr 2023
Complex Mixer for MedMNIST Classification Decathlon
Zhuoran Zheng
Xiuyi Jia
29
7
0
20 Apr 2023
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding
Dilxat Muhtar
Xue-liang Zhang
P. Xiao
Zhenshi Li
Feng-Xue Gu
SSL
43
50
0
19 Apr 2023
Self-Supervised Learning from Non-Object Centric Images with a Geometric Transformation Sensitive Architecture
Taeho Kim
Jong-Min Lee
31
0
0
17 Apr 2023
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
110
3,041
0
14 Apr 2023
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
34
5
0
11 Apr 2023
Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning
Jaehoon Lee
Doyoung Yoon
Byeongmoon Ji
Kyungyul Kim
Sangheum Hwang
SSL
57
3
0
07 Apr 2023
Exploring the Limits of Deep Image Clustering using Pretrained Models
Nikolas Adaloglou
Félix D. P. Michels
Hamza Kalisch
M. Kollmann
VLM
29
26
0
31 Mar 2023
Whether and When does Endoscopy Domain Pretraining Make Sense?
Dominik Batić
Felix Holm
Ege Ozsoy
Tobias Czempiel
Nassir Navab
20
7
0
30 Mar 2023
On the Stepwise Nature of Self-Supervised Learning
James B. Simon
Maksis Knutins
Liu Ziyin
Daniel Geisz
Abraham J. Fetterman
Joshua Albrecht
SSL
37
30
0
27 Mar 2023
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