Multi-label classification aims to recognize multiple objects or attributes from images. The
key to solving this issue relies on effectively characterizing the inter-label correlations or …

The imaging devices sense light reflected from objects and reconstruct images using the 2D-
sensor matrix. It is a 2D Cartesian coordinate system where the depth dimension is absent …

In this article, we propose a novel historical snapshot-based ensemble tracker (HSET) to
address visual object tracking. Specifically, our HSET tracker collects multiple historical …

Recently, the tracking-by-detection methods have achieved excellent performance in Multi-
Object Tracking (MOT), which focuses on obtaining a robust feature for each object and …

Semi-supervised Video Object Segmentation (VOS) needs to establish pixel-level
correspondences between a video frame and preceding segmented frames to leverage their …

To reduce computational redundancies, a common approach is to integrate detection and re-
identification (Re-ID) into a single network in multi-object tracking (MOT), referred to as …

Multi-object tracking (MOT) is garnering more attention due to its widespread application in
the area of autonomous driving, human-computer interaction, and intelligent video …

As global temperatures increase, forest fires have increased in frequency and size. The multi-
robot system can monitor the fire spread trend in real-time and provide effective information …

The imaging devices sense light reflected from objects and reconstruct images using the 2D-
sensor matrix. It is a 2D Cartesian coordinate system where the depth dimension is absent …