Self-supervised model rankings change substantially on ImageNet variants: DINO and Swav drop on Rendition and Sketch while MoCo and Barlow improve, so ImageNet-only benchmarking is misleading.
ImageNet Large Scale Visual Recognition Challenge,
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Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
Self-supervised model rankings change substantially on ImageNet variants: DINO and Swav drop on Rendition and Sketch while MoCo and Barlow improve, so ImageNet-only benchmarking is misleading.