Image Feature Extraction
PyTorch
deltatok
cvpr2026-highlight

Fix QK norm to apply before RoPE, retrain released checkpoints

#2
Files changed (2) hide show
  1. README.md +2 -2
  2. pytorch_model.bin +2 -2
README.md CHANGED
@@ -22,8 +22,8 @@ Reconstruction quality, measured by applying downstream task heads to the recons
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  | Method | Horizon | VSPW mIoU (↑) | Cityscapes mIoU (↑) | KITTI RMSE (↓) |
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  |--------|---------|---------------|---------------------|----------------|
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  | *Present (upper bound)* | β€” | *58.4* | *70.5* | *2.79* |
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- | DeltaTok | Short (1 frame) | 58.6 | 69.6 | 2.78 |
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- | DeltaTok | Mid (3 frames)* | 58.5 | 67.9 | 2.86 |
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  *Parallel encoding from ground-truth frames with autoregressive decoding from previous reconstructions.
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  | Method | Horizon | VSPW mIoU (↑) | Cityscapes mIoU (↑) | KITTI RMSE (↓) |
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  |--------|---------|---------------|---------------------|----------------|
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  | *Present (upper bound)* | β€” | *58.4* | *70.5* | *2.79* |
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+ | DeltaTok | Short (1 frame) | 58.5 | 69.7 | 2.80 |
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+ | DeltaTok | Mid (3 frames)* | 58.5 | 68.1 | 2.88 |
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  *Parallel encoding from ground-truth frames with autoregressive decoding from previous reconstructions.
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pytorch_model.bin CHANGED
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