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Towards Fine-grained Visual Representations by Combining Contrastive
  Learning with Image Reconstruction and Attention-weighted Pooling

Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling

9 April 2021
Jonas Dippel
Steffen Vogler
Johannes Höhne
ArXivPDFHTML

Papers citing "Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling"

4 / 4 papers shown
Title
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive
  Learning with Spatial Priors in 3D Radiology Images
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images
Yejia Zhang
Nishchal Sapkota
Pengfei Gu
Yao Peng
Hao Zheng
Da Chen
31
5
0
16 Nov 2022
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
25
45
0
23 Aug 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models
  for Chest X-Ray Interpretation
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
Alexander Ke
William Ellsworth
Oishi Banerjee
A. Ng
Pranav Rajpurkar
MedIm
63
101
0
18 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
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