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VLMs can outperform traditional problem-solving roles by serving as adaptive teachers, leading to a dramatic 16.7-point boost in video reasoning performance.
Amodal SAM unlocks zero-shot amodal segmentation by adapting the Segment Anything Model (SAM) to infer complete object shapes, even in the presence of occlusions.
