https://www.selleckchem.com/pr....oducts/Ispinesib-mes
Existing part-aware person re-identification methods typically employ two separate steps namely, body part detection and part-level feature extraction. However, part detection introduces an additional computational cost and is inherently challenging for low-quality images. Accordingly, in this work, we propose a simple framework named Batch Coherence-Driven Network (BCD-Net) that bypasses body part detection during both the training and testing phases while still learning semantically aligned part features. Our key
Me gusta
Comentario
Compartir
