6 datasets found

Video instance segmentation on mobile devices is an impor- tant yet very challenging edge AI problem. It mainly suffers from (1) heavy computation and memory costs for frame-...

DAVIS2017 and DAVIS2017-Motion focus on the performance of instance segmentation on prominent moving objects.

YouTubeVIS-2019 and YouTubeVIS-2021 contain 2,883 high-resolution YouTube videos.

Video instance segmentation requires consistently segmenting and tracking objects over time. Due to the quadratic dependency on input size, directly applying self-attention to...

The Youtube-VIS-2019 dataset, which is a benchmark for video instance segmentation.

A challenging video instance segmentation benchmark with object occlusions.