Abstract: Detecting and recognizing objects are crucial steps in interpreting remote sensing images. At present, deep learning methods are predominantly employed for detecting objects in remote ...
Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...
A Simple but Effective Method for Balancing Detection and Re-Identification in Multi-Object Tracking
Abstract: In recent years, joint detection and embedding (JDE) has become the research focus in multi-object tracking (MOT) due to its fast inference speed. JDE models are designed and widely utilized ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback