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Efficient DETR: Improving End-to-End Object Detector with Dense Prior
By taking advantage of both dense detection and sparse set detection, Efficient DETR leverages dense prior to initialize the object containers and brings the gap of the 1-decoder structure and 6-decoder structure.
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification
Vehicle re-identification is one of the core technologies of intelligent transportation systems and smart cities, but large intra-class diversity and inter-class similarity poses great challenges for existing method.
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