Progressive Growing of Patch Size: Resource-Efficient Curriculum
Learning for Dense Prediction Tasks

Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks

10 July 2024

Stefan M. Fischer

Johannes Kiechle

Julia A. Schnabel

Papers citing "Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks"

8 / 8 papers shown

Title
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 112 1,112 0 04 Jan 2022
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 106 977 0 10 Jun 2021
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 400 21,281 0 25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 162 1,594 0 18 Mar 2021
Competence-based Curriculum Learning for Neural Machine Translation Emmanouil Antonios Platanios Otilia Stretcu Graham Neubig Barnabás Póczós Tom Michael Mitchell 80 342 0 23 Mar 2019
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance Andrew Jesson N. Guizard Sina Hamidi Ghalehjegh D. Goblot F. Soudan Nicolas Chapados 29 48 0 27 Jul 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.5K 76,917 0 18 May 2015
Learning to Execute Wojciech Zaremba Ilya Sutskever ODL 83 559 0 17 Oct 2014