DINOv2 Shows Weaker kNN Performance
psy_com · reddit · 2026-07-08
Testing a frozen encoder with weighted k-NN on a fine-grained car model classification task yielded the following accuracies: SigLIP2 SO400M at roughly 92%, CLIP ViT-L at 59%, and DINOv2 Giant at 41%. The author suggests this gap might stem from different training objectives and asks whether DINOv2 is better suited for linear probes or if switching layers or pooling methods is necessary.
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