Zero-Shot Visual Recognition via Semantic Attention-Based Compare Network
Zero-shot visual recognition aims to classify images whose classes are not have been seen in the training stage. Most of current approaches first project the attribute semantic feature and image feature into a common space, then the manually defined similarity measures or linear classifiers are used...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8978900/ |