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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Reinforced Multi-Label Image Classification by Exploring Curriculum

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Shiyi He

Peking University


Chang Xu

UBTECH Sydney AI Centre, SIT, FEIT, University of Sydney


Tianyu Guo

Peking University


Chao Xu

Peking University


Dacheng Tao

UBTECH Sydney AI Centre, SIT, FEIT, University of Sydney


DOI:

10.1609/aaai.v32i1.11770


Abstract:

Humans and animals learn much better when the examples are not randomly presented but organized in a meaningful order which illustrates gradually more concepts, and gradually more complex ones. Inspired by this curriculum learning mechanism, we propose a reinforced multi-label image classification approach imitating human behavior to label image from easy to complex. This approach allows a reinforcement learning agent to sequentially predict labels by fully exploiting image feature and previously predicted labels. The agent discovers the optimal policies through maximizing the long-term reward which reflects prediction accuracies. Experimental results on PASCAL VOC2007 and 2012 demonstrate the necessity of reinforcement multi-label learning and the algorithm’s effectiveness in real-world multi-label image classification tasks.

Topics: AAAI

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HOW TO CITE:

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao Reinforced Multi-Label Image Classification by Exploring Curriculum Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao Reinforced Multi-Label Image Classification by Exploring Curriculum AAAI 2018, .

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao (2018). Reinforced Multi-Label Image Classification by Exploring Curriculum. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao. Reinforced Multi-Label Image Classification by Exploring Curriculum. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao. 2018. Reinforced Multi-Label Image Classification by Exploring Curriculum. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao. (2018) "Reinforced Multi-Label Image Classification by Exploring Curriculum", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao, "Reinforced Multi-Label Image Classification by Exploring Curriculum", AAAI, p., 2018.

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao. "Reinforced Multi-Label Image Classification by Exploring Curriculum". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao. "Reinforced Multi-Label Image Classification by Exploring Curriculum". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Shiyi He||Chang Xu||Tianyu Guo||Chao Xu||Dacheng Tao. Reinforced Multi-Label Image Classification by Exploring Curriculum. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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