Concept
STAC
A semi-supervised object detection method proposed in 2020 that uses a teacher network to generate pseudo-labels while a student network learns on strongly augmented images, representing early systematic exploration of consistency regularization for object detection.
Timeline (last 90 days)
Oct 12
In tests across four frontier agent models, X-AgentRed's harmful path discovery rate reached 1.77 times that of the baseline method STAC.
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