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A Large-scale Medical Visual Task Adaptation Benchmark

A Large-scale Medical Visual Task Adaptation Benchmark

19 April 2024
Shentong Mo
Xufang Luo
Yansen Wang
Dongsheng Li
    MedIm
ArXivPDFHTML

Papers citing "A Large-scale Medical Visual Task Adaptation Benchmark"

16 / 16 papers shown
Title
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical
  Imaging via Second-order Graph Matching
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
D. M. Nguyen
Hoang Nguyen
Nghiem Tuong Diep
Tan Ngoc Pham
T. Cao
...
Nhat Ho
Shadi Albarqouni
P. Xie
Daniel Sonntag
Mathias Niepert
VLM
MedIm
76
51
0
20 Jun 2023
Improving Visual Prompt Tuning for Self-supervised Vision Transformers
Improving Visual Prompt Tuning for Self-supervised Vision Transformers
S. Yoo
Eunji Kim
Dahuin Jung
Jungbeom Lee
Sung-Hoon Yoon
VLM
117
42
0
08 Jun 2023
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLM
VPVLM
148
1,624
0
23 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
460
7,739
0
11 Nov 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
165
1,218
0
18 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
685
6,066
0
29 Apr 2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges
  and methods
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
V. Bawa
Gurkirt Singh
Francis KapingA
I. Skarga-Bandurova
Elettra Oleari
...
Li Li
Armando Stabile
Francesco Setti
R. Muradore
Fabio Cuzzolin
55
41
0
07 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
154
1,862
0
05 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
447
21,418
0
25 Mar 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
384
6,762
0
23 Dec 2020
Med-BERT: pre-trained contextualized embeddings on large-scale
  structured electronic health records for disease prediction
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
L. Rasmy
Yang Xiang
Z. Xie
Cui Tao
Degui Zhi
AI4MH
LM&MA
99
690
0
22 May 2020
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
Sergey P. Morozov
Anna E. Andreychenko
Nikolay A. Pavlov
A. Vladzymyrskyy
N. Ledikhova
V. Gombolevskiy
I. Blokhin
P. Gelezhe
A. Gonchar
V. Chernina
37
247
0
13 May 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
CLL
MoMe
134
849
0
01 May 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
107
2,503
0
22 Mar 2020
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
112
2,594
0
21 Jan 2019
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
171
2,979
0
30 Mar 2016
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