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Introduces PEEK, an efficient dynamic frame sampling method that distills caption-conditioned frame relevance rankings from a teacher model into a lightweight temporal model, outperforming state-of-the-art methods in video captioning while maintaining computational efficiency.
NemoStation/Marlin-2B is a fine-tuned model based on Qwen3.5-2B for video-text-to-text tasks, supporting video captioning and temporal grounding.