A user on Reddit is seeking advice on whether to build a custom image encoder for video frame classification or use existing models like CLIP or DINO. Their primary goals are to improve processing speed and enable deployment on low-power, CPU-only devices. The user plans to train their custom encoder on a dataset of a few million images with a few million parameters, aiming for better performance than current CLIP-based encoders on their specific task. AI
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RANK_REASON This is a user asking a question on a forum, not a news item.