For the latest updates, code releases, and demonstration videos, visit the official project website at https://people-robots.github.io/VideoSAVi/ or review the full paper on arXiv (arXiv:2412.00624).
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: This is a self-training pipeline designed for Video-LLMs to learn directly from video content. It includes a self-critiquing mechanism to identify and "fix" reasoning errors, significantly improving spatial and temporal reasoning.
Western Ghats expeditions, pristine beach diaries, and monsoon drone footage from the Dakshina Kannada region are prone to fog diffusion and lens moisture distortions. Video correction toolkits normalize the contrast levels and fix the frame drops caused by environmental challenges during shooting. Key Technical Challenges Resolved by Video Fixes