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Extending and Analyzing Self-Supervised Learning Across Domains
v1v2 (latest)

Extending and Analyzing Self-Supervised Learning Across Domains

24 April 2020
Bram Wallace
B. Hariharan
    SSL
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "Extending and Analyzing Self-Supervised Learning Across Domains"

24 / 24 papers shown
Title
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning
Fida Mohammad Thoker
Letian Jiang
Chen Zhao
Piyush Bagad
Hazel Doughty
Bernard Ghanem
Cees G. M. Snoek
ViTSSL
175
0
0
08 Apr 2025
Adapting Self-Supervised Representations to Multi-Domain Setups
Adapting Self-Supervised Representations to Multi-Domain Setups
Neha Kalibhat
Sam Sharpe
Jeremy Goodsitt
Bayan Bruss
Soheil Feizi
98
0
0
07 Sep 2023
Exploring Self-Supervised Representation Learning For Low-Resource
  Medical Image Analysis
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis
Soumitri Chattopadhyay
Soham Ganguly
Sreejit Chaudhury
Sayan Nag
S. Chattopadhyay
118
1
0
03 Mar 2023
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
Renrui Zhang
Liuhui Wang
Ziyu Guo
Jianbo Shi
3DPC
145
11
0
01 Mar 2023
Automatically Discovering Novel Visual Categories with Self-supervised
  Prototype Learning
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning
Lu Zhang
Lu Qi
Xu Yang
Hong Qiao
Ming-Hsuan Yang
Zhiyong Liu
SSL
89
5
0
01 Aug 2022
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain
  Adaptation
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
125
23
0
27 Jul 2022
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?
Fida Mohammad Thoker
Hazel Doughty
Piyush Bagad
Cees G. M. Snoek
SSL
110
19
0
27 Mar 2022
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
143
6
0
22 Feb 2022
Rethinking Nearest Neighbors for Visual Classification
Rethinking Nearest Neighbors for Visual Classification
Menglin Jia
Bor-Chun Chen
Zuxuan Wu
Claire Cardie
Serge Belongie
Ser-Nam Lim
SSL
120
10
0
15 Dec 2021
Learning Rich Nearest Neighbor Representations from Self-supervised
  Ensembles
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Bram Wallace
Devansh Arpit
Huan Wang
Caiming Xiong
SSLOOD
69
0
0
19 Oct 2021
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
Huy Q. Vo
Tuong Khanh Long Do
Vinson Pham
Duy V.M. Nguyen
An T. Duong
Quang-Dieu Tran
71
5
0
07 Sep 2021
Self-Supervised Learning from Unlabeled Fundus Photographs Improves
  Segmentation of the Retina
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
J. Kukačka
Anja Zenz
Marcel Kollovieh
D. Jüstel
V. Ntziachristos
70
2
0
05 Aug 2021
Exploiting generative self-supervised learning for the assessment of
  biological images with lack of annotations: a COVID-19 case-study
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study
Alessio Mascolini
Dario Cardamone
Francesco Ponzio
S. D. Cataldo
E. Ficarra
MedIm
97
16
0
16 Jul 2021
How Low Can We Go: Trading Memory for Error in Low-Precision Training
How Low Can We Go: Trading Memory for Error in Low-Precision Training
Chengrun Yang
Ziyang Wu
Jerry Chee
Christopher De Sa
Madeleine Udell
103
2
0
17 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with
  Unlabeled Data
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam
Chun-Fu Chen
Yikang Shen
Leonid Karlinsky
Rogerio Feris
Richard J. Radke
209
88
0
14 Jun 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Zhiqiu Lin
Deva Ramanan
Aayush Bansal
LRM
92
5
0
07 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained
  Classification
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
Jong-Chyi Su
Zezhou Cheng
Subhransu Maji
134
59
0
01 Apr 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
...
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
AI4TS
153
57
0
19 Feb 2021
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining
  and Consistency
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency
Samarth Mishra
Kate Saenko
Venkatesh Saligrama
125
29
0
29 Jan 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
247
279
0
14 Dec 2020
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
134
51
0
10 Dec 2020
Self-training for Few-shot Transfer Across Extreme Task Differences
Self-training for Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo
B. Hariharan
SSL
156
115
0
15 Oct 2020
Don't miss the Mismatch: Investigating the Objective Function Mismatch
  for Unsupervised Representation Learning
Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning
Bonifaz Stuhr
Jürgen Brauer
88
1
0
04 Sep 2020
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
131
175
0
08 Oct 2019
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