At the end of 2025 will a DINO-based algorithm still be SOTA for self-supervised learning in vision? | Manifold

At the end of 2025 will a DINO-based algorithm still be SOTA for self-supervised learning in vision?

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DINO is an algorithm for self-supervised learning on images. Since its publication it's been one of the most popular algorithm for SSL, and DINOv2 is SOTA or near-SOTA on several different benchmarks. At the end of 2025 will an algorithm based on DINO still be the best? For market resolution I will use SSL classification on ImageNet.

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I think the "vision transformers need registers" paper really improves the quality for Dino v2 on things like object discovery

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