Entropy information‐based heterogeneous deep selective fused features using deep convolutional neural network for sketch recognition
Abstract An effective feature representation can boost recognition tasks in the sketch domain. Due to an abstract and diverse structure of the sketch relatively with a natural image, it is complex to generate a discriminative features representation for sketch recognition. Accordingly, this article...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-04-01
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| Series: | IET Computer Vision |
| Online Access: | https://doi.org/10.1049/cvi2.12019 |