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Hybrid Attention Network for Language-Based Person Search
2020
Sensors
Language-based person search retrieves images of a target person using natural language description and is a challenging fine-grained cross-modal retrieval task. A novel hybrid attention network is proposed for the task. The network includes the following three aspects: First, a cubic attention mechanism for person image, which combines cross-layer spatial attention and channel attention. It can fully excavate both important midlevel details and key high-level semantics to obtain better
doi:10.3390/s20185279
pmid:32942720
pmcid:PMC7570628
fatcat:hrqu7lz4frg4vdvoicory4vm6e