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README.md
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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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| Rad-DINO | ViT-B/14 |
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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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| 89 |
| Model | Backbone | # Params |
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| 90 |
|-------------|----------|---------:|
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| 91 |
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| Rad-DINO | ViT-B/14 | 86M |
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| 92 |
| I-JEPA | ViT-H/14 | 0.6B |
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| 93 |
| **RadJEPA** | ViT-B/14 | 86M |
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