End-to-end Multiple Instance Learning with Gradient Accumulation-Reference-Cited by-同舟云学术

End-to-end Multiple Instance Learning with Gradient Accumulation

Published:2022-12-17 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Andersson Axel¹,Koriakina Nadezhda¹,Sladoje Natasa¹,Lindblad Joakim¹

Affiliation:

1. Uppsala University,Centre for Image Analysis,Dept. of Information Technology,Sweden

Funder

European Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020801.pdf?arnumber=10020801

Reference19 articles.

1. Training deep nets with sublinear memory cost;chen,2016

2. The Effect of Within-Bag Sampling on End-to-End Multiple Instance Learning

3. Streaming convolutional neural networks for end-to-end learning with multi-megapixel images;pinckaers;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020

4. Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels

5. Cluster-to-conquer: A framework for end-to-end multi-instance learning for whole slide image classification;sharma;Medical Imaging with Deep Learning (MIDL),2021

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