Video Data Synthesis: Categorizing Matting Difficulty by Instance Overlap
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Video Data Synthesis: Categorizing Matting Difficulty by Instance Overlap
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This story was originally published on HackerNoon at: https://hackernoon.com/video-data-synthesis-categorizing-matting-difficulty-by-instance-overlap.
MaGGIe utilizes the V-HIM2K5 and V-HIM60 datasets, categorizing video instance matting into three difficulty levels based on occlusion and overlap.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #deep-learning, #video-instance-matting, #instance-overlap-levels, #video-background-synthesis, #data-synthesis, #occlusion-handling, #temporal-benchmarking, #video-data-synthesis, and more.
This story was written by: @instancing. Learn more about this writer by checking @instancing's about page, and for more stories, please visit hackernoon.com.
MaGGIe utilizes the V-HIM2K5 and V-HIM60 datasets, categorizing video instance matting into three difficulty levels based on occlusion and overlap.