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User explores custom image encoder for faster video classification on CPUs

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

RANK_REASON This is a user asking a question on a forum, not a news item.

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  1. r/MachineLearning TIER_1 English(EN) · /u/These_Try_656 ·

    Custom image encoder [P]

    <!-- SC_OFF --><div class="md"><p>Hello, I would like to know whether building my own image encoder would be a good idea instead of using models like CLIP, SigLIP/SigLIP2, or DINO.</p> <p>My use case is video frame classification.</p> <p>My pipeline is the following: the client s…