A zero-training method that turns temporal grounding into a coarse-to-fine scan of binary clip questions beats direct timestamp prediction by 28 to 50 R@0.5 points on four frozen VLMs.
Internvl: Scal- ing up vision foundation models and aligning for generic visual-linguistic tasks
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Your VLM Already Knows When: Training-Free Temporal Grounding by Asking Yes or No
A zero-training method that turns temporal grounding into a coarse-to-fine scan of binary clip questions beats direct timestamp prediction by 28 to 50 R@0.5 points on four frozen VLMs.