Inserting non-local attention layers at multiple feature levels in a ResNet-50 backbone improves video-based person re-ID (90.0 percent rank-1 on MARS), and a reduced variant cuts FLOPs by 72.7 percent with a 1.1 point accuracy drop.
Person re-identification by symmetry-driven accumulation of local features
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Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification
Inserting non-local attention layers at multiple feature levels in a ResNet-50 backbone improves video-based person re-ID (90.0 percent rank-1 on MARS), and a reduced variant cuts FLOPs by 72.7 percent with a 1.1 point accuracy drop.