Faster segmentation of objects in video with new affinity formula

Faster segmentation of objects in video with new affinity formula

Faster segmentation of objects in video with new affinity formula
arXiv paper abstract https://arxiv.org/abs/2106.05210
arXiv PDF paper https://arxiv.org/pdf/2106.05210.pdf
Project Web page https://hkchengrex.github.io/STCN
GitHub https://github.com/hkchengrex/STCN

… simple … approach to modeling space-time correspondences in … video object segmentation.
… establish correspondences directly between frames without re-encoding the mask features for every object
… propose using the negative squared Euclidean distance instead to compute the affinities.
… beneficial to both memory efficiency and inference accuracy.
… new state-of-the-art results on both DAVIS and YouTubeVOS datasets while running significantly faster at 20+ FPS for multiple objects without bells and whistles.

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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.