Text-based person retrieval is a challenging task that aims to search pedestrian images with
the same identity according to language descriptions. Current methods usually …

Multi-Objective Multi-Camera Tracking (MOMCT) is aimed at locating and identifying
multiple objects from video captured by multiple cameras. With the advancement of …

Part feature learning is critical for fine-grained semantic understanding in vehicle re-
identification. However, existing approaches directly model part features and global …

Due to the scarcity of manually annotated data required for fine-grained video
understanding, few-shot fine-grained (FS-FG) action recognition has gained significant …

Transformer-based supervised pre-training achieves great performance in person re-
identification (ReID). However, due to the domain gap between ImageNet and ReID …

As an important component of intelligent transportation systems, collaborative perception
has made great progress in recent years. In collaborative perception, multiple devices rely …

Existing object re-identification methods usually utilize backbone networks developed based
on classification tasks to obtain the final object features. However, these backbone networks …

The misalignment of features caused by pose and viewpoint variances is a crucial problem
in Vehicle Re-Identification (ReID). Previous methods align the features by structuring the …

Existing methods for asymmetric image retrieval employ a rigid pairwise similarity constraint
between the query network and the larger gallery network. However these one-to-one …

Synthetic aperture radar (SAR) ships have rich multi-frequency information, however,
existing SAR ship detection methods mostly only consider high-frequency information …