HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification-Reference-Cited by-同舟云学术

HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Ouyang Shuyi¹^ORCID,Wang Hongyi¹^ORCID,Niu Ziwei¹^ORCID,Bai Zhenjia¹^ORCID,Xie Shiao¹^ORCID,Xu Yingying²^ORCID,Tong Ruofeng¹^ORCID,Chen Yen-Wei³^ORCID,Lin Lanfen¹^ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

2. Zhejiang Lab, Hangzhou, China

3. Ritsumeikan University, Kusatsu, Japan

Funder

Major Technological Innovation Project of Hangzhou

Major Scientific Research Project of Zhejiang Lab

National Key Research and Development Project

Zhejiang Provincial Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612159

Reference51 articles.

1. Yoshua Bengio , Réjean Ducharme , and Pascal Vincent . 2000. A neural probabilistic language model. Advances in neural information processing systems , Vol. 13 ( 2000 ). Yoshua Bengio, Réjean Ducharme, and Pascal Vincent. 2000. A neural probabilistic language model. Advances in neural information processing systems, Vol. 13 (2000).

2. End-to-End Object Detection with Transformers

3. Liang-Chieh Chen , George Papandreou , Iasonas Kokkinos , Kevin Murphy , and Alan L Yuille . 2017 . Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs . IEEE transactions on pattern analysis and machine intelligence, Vol. 40 , 4 (2017), 834--848. Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille. 2017. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence, Vol. 40, 4 (2017), 834--848.

4. Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition

5. Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition