Feature drift is caused by the dynamic coupling of target features and degradation factors, which reduce underwater detector performance. We redefine feature drift as the instability of target ...

Machine learning-based object detection is important in a wide range of fields and applications, where it identifies and locates objects within images or video frames. It plays an important role in a ...

Class-agnostic Object Detection performance of MViTs in comparison with bottom-up approaches and uni-modal detectors on five natural image OD datasets. MViTs show consistently good results on all ...