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

9 April 2021

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

6 / 6 papers shown

Title
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 39 5 0 16 Nov 2022
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder Jonas Dippel Matthias Lenga Thomas Goerttler Klaus Obermayer Johannes Höhne SSL 24 2 0 29 Jul 2022
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 42 45 0 23 Aug 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 73 101 0 18 Jan 2021
Addressing Feature Suppression in Unsupervised Visual Representations Tianhong Li Lijie Fan Yuan. Yuan Hao He Yonglong Tian Rogerio Feris Piotr Indyk Dina Katabi SSL 33 15 0 17 Dec 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 270 3,375 0 09 Mar 2020