Video Instance Segmentation

MobileInst: Video Instance Segmentation on the Mobile

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-...

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DAVIS2017 and DAVIS2017-Motion

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

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YouTubeVIS-2019 and YouTubeVIS-2021

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

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VideoCutLER

VideoCutLER is a simple unsupervised video instance segmentation method (UnVIS) that uses a cut-synthesis-and-learn pipeline to generate pseudo-masks for multiple objects in an...

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