ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval-Reference-Cited by-同舟云学术

ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval

Published:2023-09 Issue:9 Volume:33 Page:5022-5035
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Ren Hao¹^ORCID,Zheng Ziqiang²,Wu Yang³^ORCID,Lu Hong¹^ORCID,Yang Yang⁴^ORCID,Shan Ying⁵,Yeung Sai-Kit⁶

Affiliation:

1. Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China

2. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

3. Tencent AI Lab, Shenzhen, China

4. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

5. ARC Lab, Tencent PCG, Shenzhen, China

6. Department of Computer Science and Engineering, Division of Integrative System and Design (ISD), The Hong Kong University of Science and Technology, Hong Kong, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10241245/10052737.pdf?arnumber=10052737

Reference79 articles.

1. No Fuss Distance Metric Learning Using Proxies

2. The sketchy database

3. Deep Metric Learning with Hierarchical Triplet Loss

4. Deep Residual Learning for Image Recognition

5. Zero-Shot Sketch-Image Hashing

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