ARTEMIS combines a debate-and-judge vision-language agent with SAM2 propagation and reliability-aware robust learning to improve video polyp segmentation from points, scribbles, or limited dense labels.
Cmsa-net: Causal multi-scale aggregation with adaptive multi-source reference for video polyp segmentation,
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ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation
ARTEMIS combines a debate-and-judge vision-language agent with SAM2 propagation and reliability-aware robust learning to improve video polyp segmentation from points, scribbles, or limited dense labels.