A Hybrid Deep Learning Architecture for Latent Topic-based Image Retrieval
Abstract Learning effective feature descriptors that bridge the semantic gap between low-level visual features directly extracted from image pixels and the corresponding high-level semantics perceived by humans is a challenging task in image retrieval. This paper proposes a hybrid deep learning arch...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-04-01
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| Series: | Data Science and Engineering |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s41019-018-0063-7 |