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 …

Large-scale language-image pre-trained models have shown superior performances on
many cross-modal retrieval tasks. However, the problem of transferring the knowledge …

Video-based person re-identification (Re-ID) is designed to retrieve target pedestrians in
video sequences under non-overlapping cameras. At present, mainstream approaches post …

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 …

Capturing global and subtle discriminative information using attention mechanisms is
essential to address the challenge of inter-class high similarity for vehicle re-identification …

Pedestrian attribute recognition (PAR) aims at predicting the visual attributes of a pedestrian
image. PAR has been used as soft biometrics for visual surveillance and IoT security. Most …

Object Re-Identification (Re-ID) aims to identify and retrieve specific objects from varying
viewpoints. For a prolonged period, this field has been predominantly driven by deep …

Person re-identification (ReID) aims to find the person of interest across multiple non-
overlapping cameras. It is considered an essential step for person tracking applications …

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 …

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 …