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 ...

We propose a framework for detecting and tracking multiple interacting objects, while explicitly handling the dual problems of fragmentation (an object may be broken into several blobs) and grouping ...