Person Re-identification Method Based on Progressive Attention Pyramid

Aiming at the problem that the existing person re-identification algorithms do not fully extract person features, resulting in low accuracy of the algorithm in scenes such as person occlusion and posture change, a person re-identification method based on progressive attention pyramid is proposed.This method designs a progressive feature pyramid structure based on the attention mechanism, embeds the channel and spatial attention modules into the feature pyramid structure, and applies them to the channel and spatial dimensions of the feature.Channel attention pyramid aggregates the noteworthy features in different channel dimensions at each level of the backbone network, and the spatial attention pyramid extracts the noteworthy features in different spatial dimensions.Each level of the pyramid follows the principle of "split-attend-concat",and continuously learns the person feature map under different segmentation levels from the bottom up.Attention allows the network to fully mine key features from different c