Attribute-based person retrieval enables individuals to be searched and retrieved using their
soft biometric features, for instance, gender, accessories, and clothing colors. The process …

Pedestrian attribute recognition (PAR) is crucial in various applications like surveillance and
urban planning. Accurately identifying attributes in diverse and intricate urban environments …

The goal of pedestrian attribute recognition (PAR) is to detect and classify a wide range of
pedestrian attributes, such as gender, carrying objects, clothing styles, body postures, age …

Pedestrian attribute recognition (PAR) aims to identify the attributes like gender, hat, and
upper clothes color of a captured pedestrian, which is a challenging but practical research …

The domain of Human-Object Interaction (HOI) detection has captured considerable
attention within the computer vision research community, given its focus on grasping the …

Among multimodal tasks, olfactory perception remains a largely unexplored field. The two
most significant difficulties that need to be overcome are that the label space is ample while …