Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval

Sketching enables many exciting applications, notably, image retrieval. The fear-to-sketch problem (i.e., "I can't sketch") has however proven to be fatal for its widespread adoption. This paper tackles this "fear" head on, and for the first time, proposes an auxiliary modul...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 989 - 998
Main Authors:	Bhunia, Ayan Kumar, Koley, Subhadeep, Khilji, Abdullah Faiz Ur Rahman, Sain, Aneeshan, Chowdhury, Pinaki Nath, Xiang, Tao, Song, Yi-Zhe
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.01.2022
Subjects:	Boosting categorization Computational modeling Computer vision grouping and shape analysis; Vision applications and systems Head Image retrieval Pattern recognition Recognition: detection Reinforcement learning retrieval; Segmentation
ISSN:	1063-6919
Online Access:	Get full text
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