Fix QK norm to apply before RoPE, retrain released checkpoints
#2
by tommiekerssies - opened
- README.md +2 -2
- pytorch_model.bin +2 -2
README.md
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@@ -22,8 +22,8 @@ Reconstruction quality, measured by applying downstream task heads to the recons
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| Method | Horizon | VSPW mIoU (β) | Cityscapes mIoU (β) | KITTI RMSE (β) |
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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.
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| DeltaTok | Mid (3 frames)* | 58.5 |
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*Parallel encoding from ground-truth frames with autoregressive decoding from previous reconstructions.
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| Method | Horizon | VSPW mIoU (β) | Cityscapes mIoU (β) | KITTI RMSE (β) |
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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
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fb478e81e70e743472ec59f959573476f5acea205aaa918c9934211126d35a9
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size 681704533
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