Multi-label Classification with Partial Annotations using Class-aware Selective Loss-Reference-Cited by-同舟云学术

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Multi-label Classification with Partial Annotations using Class-aware Selective Loss

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Ben-Baruch Emanuel¹,Ridnik Tal¹,Friedman Itamar¹,Ben-Cohen Avi¹,Zamir Nadav¹,Noy Asaf¹,Zelnik-Manor Lihi¹

Affiliation:

1. DAMO Academy, Alibaba Group

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879213.pdf?arnumber=9879213

Reference33 articles.

1. Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification

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1. A survey on multi-label feature selection from perspectives of label fusion;Information Fusion;2023-12

2. Category-Wise Fine-Tuning for Image Multi-label Classification with Partial Labels;Communications in Computer and Information Science;2023-11-27

3. Vision-Language Assisted Attribute Learning;2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC);2023-11-03

4. Hierarchical Visual Attribute Learning in the Wild;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Attribute Learning with Knowledge Enhanced Partial Annotations;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

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