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2202.06431
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AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
13 February 2022
S. Park
Gwanghyun Kim
Y. Oh
J. Seo
Sang Min Lee
Jin Hwan Kim
Sungjun Moon
Jae-Kwang Lim
Changhyun Park
Jong Chul Ye
ViT
MedIm
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Papers citing
"AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation"
5 / 5 papers shown
Title
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
Difei Gu
Yunhe Gao
Yang Zhou
Mu Zhou
Dimitris N. Metaxas
LM&MA
42
2
0
13 Jan 2025
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
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
290
7,434
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
303
5,773
0
29 Apr 2021
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
242
269
0
30 Sep 2019
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