End-to-End Comparative Attention Networks for Person Re-Identification
End-to-End Comparative Attention Networks for Person Re-Identification
Person re-identification across disjoint camera views has been widely applied in video surveillance yet it is still a challenging problem. One of the major challenges lies in the lack of spatial and temporal cues, which makes it difficult to deal with large variations of lighting conditions, viewing angles, body poses …