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README: restore depth row RMSE 0.537

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@@ -57,7 +57,7 @@ All four heads trained on pre-cached ViT-S features produced by a single forward
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  | Classifier | ImageNet-1k train | 224 px CLS token | SGD, lr 30, WD 0, cosine, 30 epochs | 82.87 % train top-1 / **79.13 % val top-1 / 95.53 % val top-5** |
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  | Segmentation | ADE20K (20,210 train / 2,000 val) | 512 px, 32脳32 grid | Linear probe (BN + 1脳1 conv), AdamW, lr 1e-3, 32 epochs (~40k iters) | mIoU 0.419 |
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- | Depth | NYUv2 (32K train / 5K val) | 416 px, 4 hooked blocks at strides 4/8/16/32 | SILog, AdamW, lr 6e-4 cosine, DPT decoder with reflection-padded 3脳3 convs | RMSE 0.541 |
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  | Detection | COCO train 2017 (117 K) | 768 px, 48脳48 grid | FCOS targets, AdamW, lr 1e-4, 2 epochs | **COCO val2017 mAP 27.3** (AP@50 49.6 路 AR@100 43.2); RF100-VL AR@100 0.266 (20-domain subset) |
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  ## Files
 
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  | Classifier | ImageNet-1k train | 224 px CLS token | SGD, lr 30, WD 0, cosine, 30 epochs | 82.87 % train top-1 / **79.13 % val top-1 / 95.53 % val top-5** |
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  | Segmentation | ADE20K (20,210 train / 2,000 val) | 512 px, 32脳32 grid | Linear probe (BN + 1脳1 conv), AdamW, lr 1e-3, 32 epochs (~40k iters) | mIoU 0.419 |
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+ | Depth | NYUv2 (32K train / 5K val) | 416 px, 4 hooked blocks at strides 4/8/16/32 | SILog, AdamW, lr 1e-4 cosine, DPT decoder with reflection-padded 3脳3 convs | RMSE 0.537 |
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  | Detection | COCO train 2017 (117 K) | 768 px, 48脳48 grid | FCOS targets, AdamW, lr 1e-4, 2 epochs | **COCO val2017 mAP 27.3** (AP@50 49.6 路 AR@100 43.2); RF100-VL AR@100 0.266 (20-domain subset) |
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  ## Files