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Cheap segment-then-caption video pipelines can overcome boundary drift and context fragmentation once temporal shifts and historical context are governed by interventional dependency modeling rather than raw sequential attention.
By mining cross-domain category relationships, this method significantly improves open-set object detection, enabling models to adapt to new object categories without target annotations.
