StreamDAM makes a state-of-the-art video object segmentation tracker run in real time by using a learned presence signal to control its memory, recovering almost all offline accuracy and exceeding the offline model on a curated hard benchmark.
The visual object tracking VOT2017 challenge results,
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StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation
StreamDAM makes a state-of-the-art video object segmentation tracker run in real time by using a learned presence signal to control its memory, recovering almost all offline accuracy and exceeding the offline model on a curated hard benchmark.