SA-VIS trains video instance segmentation models on sparse frame annotations via a Past-frames Feature Propagation module and frame-specific instance queries, showing only a 0.4% AP drop versus dense training on YouTube-VIS and OVIS benchmarks.
IEEE Transactions on Circuits and Systems for Video Technology pp
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SA-VIS: Sparse frame Annotations for training Video Instance Segmentation
SA-VIS trains video instance segmentation models on sparse frame annotations via a Past-frames Feature Propagation module and frame-specific instance queries, showing only a 0.4% AP drop versus dense training on YouTube-VIS and OVIS benchmarks.