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Transformer for object re-identification: A survey
Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …
times and scenes, which is a widely researched task in computer vision. For a prolonged …
A review on video person re-identification based on deep learning
Abstract Person Re-Identification (ReID) is an essential technology for matching a person
across non-overlap** cameras. It has attracted increasing attention in recent years due to …
across non-overlap** cameras. It has attracted increasing attention in recent years due to …
TF-CLIP: Learning text-free CLIP for video-based person re-identification
Large-scale language-image pre-trained models have shown superior performances on
many cross-modal retrieval tasks. However, the problem of transferring the knowledge …
many cross-modal retrieval tasks. However, the problem of transferring the knowledge …
[HTML][HTML] Lovit: Long video transformer for surgical phase recognition
Online surgical phase recognition plays a significant role towards building contextual tools
that could quantify performance and oversee the execution of surgical workflows. Current …
that could quantify performance and oversee the execution of surgical workflows. Current …
Graph convolution based efficient re-ranking for visual retrieval
Visual retrieval tasks such as image retrieval and person re-identification (Re-ID) aim at
effectively and thoroughly searching images with similar content or the same identity. After …
effectively and thoroughly searching images with similar content or the same identity. After …
A video is worth three views: Trigeminal transformers for video-based person re-identification
Video-based person Re-Identification (Re-ID) is a hot research topic in intelligent
transportation systems, which aims to retrieve video sequences of the same person under …
transportation systems, which aims to retrieve video sequences of the same person under …
STFE: a comprehensive video-based person re-identification network based on spatio-temporal feature enhancement
Video-based person re-identification (Re-ID) is designed to retrieve target pedestrians in
video sequences under non-overlap** cameras. At present, mainstream approaches post …
video sequences under non-overlap** cameras. At present, mainstream approaches post …
Multi-scale spatio-temporal feature adaptive aggregation for video-based person re-identification
Video-based person re-identification (Re-ID) aims to retrieve the target person from video
sequences captured by a distributed camera system. It remains a challenging task due to the …
sequences captured by a distributed camera system. It remains a challenging task due to the …
Adaptive Zone Learning for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) stands as a pivotal endeavor within the realm
of computer vision, entailing the location of objects utilizing merely image-level labels …
of computer vision, entailing the location of objects utilizing merely image-level labels …
Deep video-based person re-identification (Deep Vid-ReID): comprehensive survey
Person re-identification (ReID) aims to find the person of interest across multiple non-
overlap** cameras. It is considered an essential step for person tracking applications …
overlap** cameras. It is considered an essential step for person tracking applications …