Auxiliary video losses help an under-trained OSVOS on DAVIS-2016, but the gains are small and the comparison setting is non-standard.
Fast and accurate online video object segmentation via tracking parts
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In defense of OSVOS
Auxiliary video losses help an under-trained OSVOS on DAVIS-2016, but the gains are small and the comparison setting is non-standard.