Transformer-based Cross attention and Feature Diversity for Occluded Person Re-identification

Occluded person re-identification is a very difficult because the specific person is occluded by obstacles or other persons or by oneself. Major works adopt transformer-based approach show excellent performances, but they used a basic transformer only. In this paper, we suggest the various techniques to improve the transformer-based Re-ID method for the occluded person as follows. First, after extracting the heatmap and then deleting random body parts on the heat map, accurate keypoint information is obtained in data augmentation. Second, Cross-attention between the keypoint heatmap and the output of the transformer