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How Useful is Self-Supervised Pretraining for Visual Tasks?

How Useful is Self-Supervised Pretraining for Visual Tasks?

31 March 2020
Alejandro Newell
Jia Deng
    SSL
ArXivPDFHTML

Papers citing "How Useful is Self-Supervised Pretraining for Visual Tasks?"

27 / 27 papers shown
Title
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
F. Jonske
M. Kim
Enrico Nasca
J. Evers
Johannes Haubold
...
F. Nensa
Michael Kamp
C. Seibold
Jan Egger
Jens Kleesiek
79
1
0
17 Feb 2025
Self-supervised Learning via Cluster Distance Prediction for Operating
  Room Context Awareness
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness
Idris Hamoud
Alexandros Karargyris
Aidean Sharghi
Omid Mohareri
N. Padoy
SSL
21
1
0
07 Jul 2024
On the Difficulty of Defending Contrastive Learning against Backdoor
  Attacks
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks
Changjiang Li
Ren Pang
Bochuan Cao
Zhaohan Xi
Jinghui Chen
Shouling Ji
Ting Wang
AAML
32
6
0
14 Dec 2023
Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
Mushfiqur Rahman
Runze Liu
Chau-Wai Wong
Huaiyu Dai
36
0
0
13 Dec 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in
  Self-Supervised Learning
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura
Masashi Okada
T. Taniguchi
SSL
NAI
23
0
0
08 Sep 2023
Overwriting Pretrained Bias with Finetuning Data
Overwriting Pretrained Bias with Finetuning Data
Angelina Wang
Olga Russakovsky
21
29
0
10 Mar 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
19
27
0
10 Feb 2023
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
Yachao Zhang
Zhonghao Li
Yuan Xie
Yanyun Qu
Cuihua Li
Tao Mei
3DPC
19
94
0
09 Dec 2022
Rethinking Two Consensuses of the Transferability in Deep Learning
Rethinking Two Consensuses of the Transferability in Deep Learning
Yixiong Chen
Jingxia Li
C. Ding
Li Liu
19
2
0
01 Dec 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
19
56
0
15 Nov 2022
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised
  Learning
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning
J. Dominic
Nandita Bhaskhar
Arjun D Desai
Andrew M Schmidt
E. Rubin
...
G. Gold
B. Hargreaves
L. Lenchik
R. Boutin
Akshay S. Chaudhari
10
0
0
14 Oct 2022
Composite Learning for Robust and Effective Dense Predictions
Composite Learning for Robust and Effective Dense Predictions
Menelaos Kanakis
Thomas E. Huang
David Brüggemann
F. I. F. Richard Yu
Luc Van Gool
SSL
34
3
0
13 Oct 2022
Improving Fine-tuning of Self-supervised Models with Contrastive
  Initialization
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Haolin Pan
Yong Guo
Qinyi Deng
Hao-Fan Yang
Yiqun Chen
Jian Chen
SSL
18
19
0
30 Jul 2022
A Closer Look at Self-Supervised Lightweight Vision Transformers
A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang
Jin Gao
Zeming Li
Jian-jun Sun
Weiming Hu
ViT
62
41
0
28 May 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
14
4
0
18 Apr 2022
Comparison Analysis of Traditional Machine Learning and Deep Learning
  Techniques for Data and Image Classification
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification
Efstathios Karypidis
Stylianos G. Mouslech
Kassiani Skoulariki
Alexandros Gazis
18
14
0
11 Apr 2022
Commonality in Natural Images Rescues GANs: Pretraining GANs with
  Generic and Privacy-free Synthetic Data
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data
Kyungjune Baek
Hyunjung Shim
16
12
0
11 Apr 2022
Scaled ReLU Matters for Training Vision Transformers
Scaled ReLU Matters for Training Vision Transformers
Pichao Wang
Xue Wang
Haowen Luo
Jingkai Zhou
Zhipeng Zhou
Fan Wang
Hao Li
R. L. Jin
13
41
0
08 Sep 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your
  Pre-training Effective?
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?
Hiroaki Mikami
Kenji Fukumizu
Shogo Murai
Shuji Suzuki
Yuta Kikuchi
Taiji Suzuki
S. Maeda
Kohei Hayashi
38
12
0
25 Aug 2021
How Transferable Are Self-supervised Features in Medical Image
  Classification Tasks?
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
T. Truong
Sadegh Mohammadi
Matthias Lenga
32
45
0
23 Aug 2021
Geographical Knowledge-driven Representation Learning for Remote Sensing
  Images
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
Wenyuan Li
Keyan Chen
Hao Chen
Zhenwei Shi
SSL
38
64
0
12 Jul 2021
Contrasting Contrastive Self-Supervised Representation Learning
  Pipelines
Contrasting Contrastive Self-Supervised Representation Learning Pipelines
Klemen Kotar
Gabriel Ilharco
Ludwig Schmidt
Kiana Ehsani
Roozbeh Mottaghi
SSL
23
45
0
25 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
23
104
0
23 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray
  classification
Self-supervised deep convolutional neural network for chest X-ray classification
Matej Gazda
J. Gazda
J. Plávka
P. Drotár
SSL
17
54
0
04 Mar 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
11
43
0
13 Feb 2021
Self-Path: Self-supervision for Classification of Pathology Images with
  Limited Annotations
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
Navid Alemi Koohbanani
Balagopal Unnikrishnan
S. Khurram
Pavitra Krishnaswamy
Nasir M. Rajpoot
SSL
14
164
0
12 Aug 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
24
1,586
0
15 Jun 2020
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