radjepa
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@@ -88,7 +88,7 @@ Notably, RadJEPA uses a ViT-B/14 backbone (86M parameters), making it substantia
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  Furthermore, Rad-DINO and RadJEPA are the only methods pretrained on comparable chest X-ray datasets at similar scale, enabling a direct and fair comparison of self-supervised objectives under matched data and model capacity.
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  | Model | Backbone | # Params |
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  |-------------|----------|---------:|
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- | Rad-DINO | ViT-B/14 | 87M |
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  | I-JEPA | ViT-H/14 | 0.6B |
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  | **RadJEPA** | ViT-B/14 | 86M |
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  Furthermore, Rad-DINO and RadJEPA are the only methods pretrained on comparable chest X-ray datasets at similar scale, enabling a direct and fair comparison of self-supervised objectives under matched data and model capacity.
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  | Model | Backbone | # Params |
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  |-------------|----------|---------:|
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+ | Rad-DINO | ViT-B/14 | 86M |
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  | I-JEPA | ViT-H/14 | 0.6B |
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  | **RadJEPA** | ViT-B/14 | 86M |
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