Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations-Reference-Cited by-同舟云学术

Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
language:
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Author:

Verelst Thomas¹,Rubenstein Paul K.²,Eichner Marcin²,Tuytelaars Tinne¹,Berman Maxim²

Affiliation:

1. KU Leuven,ESAT-PSI,Belgium

2. Apple

Funder

KU Leuven

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030948.pdf?arnumber=10030948

Reference60 articles.

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4. Learning from multiple datasets with heterogeneous and partial labels for universal lesion detection in CT;yan;IEEE Transactions on Medical Imaging,2020

5. Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification

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