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Found 3 papers, 2 papers with code
Cascaded information enhancement and cross-modal attention feature fusion for multispectral pedestrian detection
On the other hand, the cross-modal attention feature fusion module mines the features of both Color and Thermal modalities to complement each other, then the global features are constructed by adding the cross-modal complemented features element by element, which are attentionally weighted to achieve the effective fusion of the two modal features.
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
Based on our constructed dataset, we prove that with the increase of frames in a tracklet, the performance does meet more enhancement, demonstrating the significance of video-to-video matching in RGB-IR person Re-ID.
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-Identification
Since human-labeled samples are free for the target set, unsupervised person re-identification (Re-ID) has attracted much attention in recent years, by additionally exploiting the source set.
