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SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks
Junkun Jiang
, Ruomei Wang
, Shujin Lin
, Fei Wang
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
10
Citations (Scopus)
Overview
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Dive into the research topics of 'SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks'. Together they form a unique fingerprint.
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Keyphrases
2-parts
33%
Affine Transform
33%
Background Pixel
33%
Deep Fully Convolutional Network
100%
Deep Learning Technology
33%
Drawing Skills
33%
Drawing Style
33%
Encoder
33%
Freehand Sketch
100%
High Performance
33%
Image Segmentation
33%
Large Variance
33%
Multiple Parts
33%
Network Process
33%
Network Segmentation
33%
Parsing
100%
Reweighting Strategy
33%
Segmentation Network
100%
Semantic Segmentation
33%
Single Object
33%
Sketch Dataset
33%
Sketch Segmentation
33%
Stokes
33%
Technology Requirements
33%
Touchpad
33%
Training Stages
33%
Computer Science
Coder
33%
Deep Learning Method
33%
Fully Convolutional Network
100%
Image Segmentation
66%
Network Segmentation
100%
Parsing
33%
Process Network
33%