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Improve segmentation of close objects in video using optical flow with BATMAN

Improve segmentation of close objects in video using optical flow with BATMAN


BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation

arXiv paper abstract https://arxiv.org/abs/2208.01159



Video Object Segmentation (VOS) is fundamental to video understanding.


... existing work faces challenges segmenting visually similar objects in close proximity of each other.


... propose a novel Bilateral Attention Transformer in Motion-Appearance Neighboring space (BATMAN) for semi-supervised VOS.


It captures object motion in the video via a novel optical flow calibration module that fuses the segmentation mask with optical flow estimation to improve within-object optical flow smoothness and reduce noise at object boundaries.


... employed ... novel bilateral attention, which computes the correspondence between the query and reference frames in the neighboring bilateral space considering both motion and appearance.


... BATMAN ... outperforming all existing state-of-the-art on all four popular VOS benchmarks ...



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