OVSNet: Towards One-Pass Real-Time Video Object Segmentation
Video object segmentation aims at accurately segmenting the target object regions across
consecutive frames. It is technically challenging for coping with complicated factors (eg,
shape deformations, occlusion and out of the lens). Recent approaches have largely solved
them by using backforth re-identification and bi-directional mask propagation. However, their
methods are extremely slow and only support offline inference, which in principle cannot be
applied in real time. Motivated by this observation, we propose a efficient detection-based …
consecutive frames. It is technically challenging for coping with complicated factors (eg,
shape deformations, occlusion and out of the lens). Recent approaches have largely solved
them by using backforth re-identification and bi-directional mask propagation. However, their
methods are extremely slow and only support offline inference, which in principle cannot be
applied in real time. Motivated by this observation, we propose a efficient detection-based …
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