Sketch-Based Image Retrieval Through Hypothesis-Driven Object Boundary Selection With HLR Descriptor-Reference-Cited by-同舟云学术

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Sketch-Based Image Retrieval Through Hypothesis-Driven Object Boundary Selection With HLR Descriptor

Published:2015-07 Issue:7 Volume:17 Page:1045-1057
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Wang Shu,Zhang Jian,Han Tony X.,Miao Zhenjiang

Funder

NSFC

973 Program

National Key Technology RD Program of China

Tsinghua-Tencent Joint Lab for IIT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/7123692/07104149.pdf?arnumber=7104149

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pixel-patch combination loss for refined edge detection;International Journal of Machine Learning and Cybernetics;2024-08-27

2. Multimodal query-guided object localization;Multimedia Tools and Applications;2023-07-11

3. SketchBuddy: Context-Aware Sketch Enrichment and Enhancement;Proceedings of the 14th Conference on ACM Multimedia Systems;2023-06-07

4. Fuzzy adaptive learning control network (FALCN) for image clustering and content-based image retrieval on noisy dataset;AIMS Mathematics;2023

5. AE-Net: Fine-grained sketch-based image retrieval via attention-enhanced network;Pattern Recognition;2022-02

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