Mask-Aware Hierarchical Aggregation Transformer for Occluded Person Re-Identification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3531142
Abstract: Occluded person re-identification (Re-ID) is a challenging problem due to the absence of notable discriminative features resulting from incomplete body part images and interference from occluded regions. Recently, some transformer-based methods have demonstrated excellent capabilities… read more here.
Keywords: person; mask aware; person identification; mask ... See more keywords
MART: Mask-Aware Reasoning Transformer for Vehicle Re-Identification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3219593
Abstract: As a significant topic in Intelligent Transportation Systems (ITS), vehicle Re-Identification (Re-ID) has attracted increasing research attention. However, the variation of shooting scenes and the similar appearance among the vehicles with the same type and… read more here.
Keywords: vehicle identification; mask; aware reasoning; local features ... See more keywords
HINT: High-Quality INpainting Transformer With Mask-Aware Encoding and Enhanced Attention
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2024.3369897
Abstract: Existing image inpainting methods leverage convolution-based downsampling approaches to reduce spatial dimensions. This may result in information loss from corrupted images where the available information is inherently sparse, especially for the scenario of large missing… read more here.
Keywords: high quality; hint; mask aware; attention ... See more keywords