Sketch-Segformer: Transformer-Based Segmentation for Figurative and Creative Sketches
Author:
Affiliation:
1. Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
2. Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K.
Funder
Beijing Natural Science Foundation
National Natural Science Foundation of China
Youth Innovative Research Team of the Beijing University of Posts and Telecommunications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/10214525.pdf?arnumber=10214525
Reference59 articles.
1. Making better use of edges via perceptual grouping
2. ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE
3. Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt
4. A neural representation of sketch drawings;ha;Proc Int Conf Learn Represent (ICLR),2018
5. Toward Deep Universal Sketch Perceptual Grouper
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3. CreativeSeg: Semantic Segmentation of Creative Sketches;IEEE Transactions on Image Processing;2024
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