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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Recognizing Unseen Attribute-Object Pair with Generative Model

February 1, 2023

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Authors

Zhixiong Nan

Xi'an Jiaotong University


Yang Liu

University of California, Los Angeles


Nanning Zheng

Xi'an Jiaotong University


Song-Chun Zhu

University of California, Los Angeles


DOI:

10.1609/aaai.v33i01.33018811


Abstract:

In this paper, we are studying the problem of recognizing attribute-object pairs that do not appear in the training dataset, which is called unseen attribute-object pair recognition. Existing methods mainly learn a discriminative classifier or compose multiple classifiers to tackle this problem, which exhibit poor performance for unseen pairs. The key reasons for this failure are 1) they have not learned an intrinsic attributeobject representation, and 2) the attribute and object are processed either separately or equally so that the inner relation between the attribute and object has not been explored. To explore the inner relation of attribute and object as well as the intrinsic attribute-object representation, we propose a generative model with the encoder-decoder mechanism that bridges visual and linguistic information in a unified end-to-end network. The encoder-decoder mechanism presents the impressive potential to find an intrinsic attribute-object feature representation. In addition, combining visual and linguistic features in a unified model allows to mine the relation of attribute and object. We conducted extensive experiments to compare our method with several state-of-the-art methods on two challenging datasets. The results show that our method outperforms all other methods.

Topics: AAAI

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HOW TO CITE:

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu Recognizing Unseen Attribute-Object Pair with Generative Model Proceedings of the AAAI Conference on Artificial Intelligence (2019) 8811-8818.

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu Recognizing Unseen Attribute-Object Pair with Generative Model AAAI 2019, 8811-8818.

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu (2019). Recognizing Unseen Attribute-Object Pair with Generative Model. Proceedings of the AAAI Conference on Artificial Intelligence, 8811-8818.

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu. Recognizing Unseen Attribute-Object Pair with Generative Model. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.8811-8818.

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu. 2019. Recognizing Unseen Attribute-Object Pair with Generative Model. "Proceedings of the AAAI Conference on Artificial Intelligence". 8811-8818.

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu. (2019) "Recognizing Unseen Attribute-Object Pair with Generative Model", Proceedings of the AAAI Conference on Artificial Intelligence, p.8811-8818

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu, "Recognizing Unseen Attribute-Object Pair with Generative Model", AAAI, p.8811-8818, 2019.

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu. "Recognizing Unseen Attribute-Object Pair with Generative Model". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.8811-8818.

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu. "Recognizing Unseen Attribute-Object Pair with Generative Model". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 8811-8818.

Zhixiong Nan||Yang Liu||Nanning Zheng||Song-Chun Zhu. Recognizing Unseen Attribute-Object Pair with Generative Model. AAAI[Internet]. 2019[cited 2023]; 8811-8818.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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101, Palo Alto, California 94303 All Rights Reserved

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