SFSegNet segments freehand sketches into object parts with a ResNet34-based FCN that ignores background pixels during training and applies affine transform encoders, achieving 91.2% average pixel accuracy on the authors' dataset.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,
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SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks
SFSegNet segments freehand sketches into object parts with a ResNet34-based FCN that ignores background pixels during training and applies affine transform encoders, achieving 91.2% average pixel accuracy on the authors' dataset.