Researchers at ByteDance develop IDOL for enabling Models to learn more about Discriminative and Robust Instance Features for VIS (Video Instance Segmentation) Tasks

The goal of video instance segmentation is to simultaneously find, segment, and track all instances of an object in a video. Due to the enormous challenge and several applications in video interpretation, video editing, autonomous driving, augmented reality, etc., it received much attention after its initial definition in 2019. There are two types of current […]

The post Researchers at ByteDance develop IDOL for enabling Models to learn more about Discriminative and Robust Instance Features for VIS (Video Instance Segmentation) …

ai paper summary ai shorts applications artificial intelligence bytedance china computer vision country editors pick enabling features johns hopkins university researchers segmentation staff tech news technology unicorns university research video video instance segmentation