Adapting Hierarchical Transformer for Scene-Level Sketch-Based Image Retrieval-Reference-Cited by-同舟云学术

Adapting Hierarchical Transformer for Scene-Level Sketch-Based Image Retrieval

Published:2023-12-06 Issue: Volume:34 Page:1-7
ISSN:
Container-title:ACM Multimedia Asia 2023
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Author:

Yang Jie¹^ORCID,Ke Aihua¹^ORCID,Cai Bo¹^ORCID

Affiliation:

1. Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, CN

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3595916.3626394

Reference39 articles.

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3. Ayan Kumar Bhunia , Subhadeep Koley , Abdullah Faiz Ur Rahman Khilji , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , and Yi-Zhe Song . 2022 . Sketching without worrying: Noise-tolerant sketch-based image retrieval . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 999–1008 . Ayan Kumar Bhunia, Subhadeep Koley, Abdullah Faiz Ur Rahman Khilji, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, and Yi-Zhe Song. 2022. Sketching without worrying: Noise-tolerant sketch-based image retrieval. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 999–1008.

4. COCO-Stuff: Thing and Stuff Classes in Context

5. Edgel index for large-scale sketch-based image search