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Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark
To promote the research and development of cross-modal object tracking, we propose a new algorithm, which learns the modality-aware target representation to mitigate the appearance gap between RGB and NIR modalities in the tracking process.
FMT:Fusing Multi-task Convolutional Neural Network for Person Search
Person search is to detect all persons and identify the query persons from detected persons in the image without proposals and bounding boxes, which is different from person re-identification.
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