RANet achieves state-of-the-art speed-accuracy trade-off for semi-supervised video object segmentation on DAVIS-16 and DAVIS-17, reaching J&F 85.5 at 33 ms/frame without online learning.
Encoder-decoder with atrous separable convolution for semantic image segmentation
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RANet: Ranking Attention Network for Fast Video Object Segmentation
RANet achieves state-of-the-art speed-accuracy trade-off for semi-supervised video object segmentation on DAVIS-16 and DAVIS-17, reaching J&F 85.5 at 33 ms/frame without online learning.