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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 30 / No. 1: Thirtieth AAAI Conference On Artificial Intelligence

Two-Stream Contextualized CNN for Fine-Grained Image Classification

March 8, 2023

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Authors

Jiang Liu

Chongqing University of Posts and Telecommunications


Chenqiang Gao

Chongqing University of Posts and Telecommunications


Deyu Meng

Xi'an Jiaotong University


Wangmeng Zuo

Harbin Institute of Technology


DOI:

10.1609/aaai.v30i1.9917


Abstract:

Human's cognition system prompts that context information provides potentially powerful clue while recognizing objects. However, for fine-grained image classification, the contribution of context may vary over different images, and sometimes the context even confuses the classification result. To alleviate this problem, in our work, we develop a novel approach, two-stream contextualized Convolutional Neural Network, which provides a simple but efficient context-content joint classification model under deep learning framework. The network merely requires the raw image and a coarse segmentation as input to extract both content and context features without need of human interaction. Moreover, our network adopts a weighted fusion scheme to combine the content and the context classifiers, while a subnetwork is introduced to adaptively determine the weight for each image. According to our experiments on public datasets, our approach achieves considerable high recognition accuracy without any tedious human's involvements, as compared with the state-of-the-art approaches.

Topics: AAAI

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HOW TO CITE:

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo Two-Stream Contextualized CNN for Fine-Grained Image Classification Proceedings of the AAAI Conference on Artificial Intelligence, 30 (2016) .

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo Two-Stream Contextualized CNN for Fine-Grained Image Classification AAAI 2016, .

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo (2016). Two-Stream Contextualized CNN for Fine-Grained Image Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 30, .

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo. Two-Stream Contextualized CNN for Fine-Grained Image Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 30 2016 p..

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo. 2016. Two-Stream Contextualized CNN for Fine-Grained Image Classification. "Proceedings of the AAAI Conference on Artificial Intelligence, 30". .

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo. (2016) "Two-Stream Contextualized CNN for Fine-Grained Image Classification", Proceedings of the AAAI Conference on Artificial Intelligence, 30, p.

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo, "Two-Stream Contextualized CNN for Fine-Grained Image Classification", AAAI, p., 2016.

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo. "Two-Stream Contextualized CNN for Fine-Grained Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence, 30, 2016, p..

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo. "Two-Stream Contextualized CNN for Fine-Grained Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence, 30, (2016): .

Jiang Liu|| Chenqiang Gao|| Deyu Meng|| Wangmeng Zuo. Two-Stream Contextualized CNN for Fine-Grained Image Classification. AAAI[Internet]. 2016[cited 2023]; .


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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