Motion-Attentive Transition for Zero-Shot Video Object Segmentation (AAAI2020&TIP2021)
a transductive approach for video object segmentation
Implementation of MaskTrack method which is the baseline of several state-of-the-art video object segmentation methods in Pytorch
This is simple implementation of MaskTrack_Box only requiring a bounding box for video object segmentation.
Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation
Separable Structure Modeling for Semi-supervised Video Object Segmentation
Winning team in DAVIS, CVPR 2020 on challenge dataset in unsupervised scenario
Video Object Segmentation using Graph Neural Networks
Fast Video Object Segmentation by Pixel-Wise Feature Comparison (PiWiVOS), presented as my final degree thesis, is a proposal to solve Video Object Segmentation both accurately and fast.
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