@timdarcet : In case there is any ambiguity: DINOv2 is 1500% a product of dumb hill-climbing on ImageNet-1k knn accuracy (and linear too) Overfitting an eval can be bad. But sometimes the reward signal is reliable, and leads to truly good models. It's about finding a balance • TwiCopy

TimDarcet

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PhD student, building big vision models @ INRIA & FAIR (Meta)

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calendar_today15-03-2021 09:44:31

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TimDarcet

@timdarcet

3 months ago

In case there is any ambiguity: DINOv2 is 100% a product of dumb hill-climbing on ImageNet-1k knn accuracy (and linear too) Overfitting an eval can be bad. But sometimes the reward signal is reliable, and leads to truly good models. It's about finding a balance

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