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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-... -
DAVIS2017 and DAVIS2017-Motion
DAVIS2017 and DAVIS2017-Motion focus on the performance of instance segmentation on prominent moving objects. -
YouTubeVIS-2019 and YouTubeVIS-2021
YouTubeVIS-2019 and YouTubeVIS-2021 contain 2,883 high-resolution YouTube videos. -
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... -
Video Instance Segmentation
Video instance segmentation requires consistently segmenting and tracking objects over time. Due to the quadratic dependency on input size, directly applying self-attention to... -
SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything by Prompt...
The paper introduces an online method, named SAM-PD, that applies SAM to track and segment objects throughout the video. -
Youtube-VIS-2019 Dataset
The Youtube-VIS-2019 dataset, which is a benchmark for video instance segmentation. -
Generalized Framework for Video Instance Segmentation
A generalized framework for video instance segmentation. -
YouTube-VIS
Video instance segmentation task requires classifying, segmenting instances in each frame, and tracking the same instance across frames.