Dynamics Prediction on TBL dataset
0.65NRMSE_ES (Step 1)Tadpole-B-LoRA-64
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tadpole-B-LoRA-64Trainable Params (M)=9.3M2026.05 | 0.65 | 1.19 | 1.68 | 2.17 | 2.59 | 2.94 | 3.32 | 3.67 | 3.97 | 4.25 | 2.64 | |
| Tadpole-L-LoRA-32Trainable Params (M)=13.6M2026.05 | 0.65 | 1.26 | 1.82 | 2.36 | 2.85 | 3.3 | 3.77 | 4.24 | 4.67 | 5.12 | 3.01 | |
| Tadpole-B-LoRA-32Trainable Params (M)=6.5M2026.05 | 0.93 | 1.64 | 2.28 | 2.89 | 3.39 | 3.76 | 4.19 | 4.56 | 4.89 | 5.18 | 3.37 | |
| Tadpole-B-ScratchTrainable Params (M)=41.6M2026.05 | 0.94 | 1.83 | 2.71 | 3.58 | 4.48 | 5.37 | 6.42 | 7.62 | 8.8 | 10.05 | 5.18 | |
| Tadpole-B-FPFTTrainable Params (M)=41.6M2026.05 | 1.16 | 2.24 | 3.31 | 4.35 | 5.4 | 6.36 | 7.36 | 8.37 | 9.31 | 10.27 | 5.81 | |
| Swin3DTrainable Params (M)=50.3M2026.05 | 1.21 | 1.96 | 2.49 | 2.87 | 3.16 | 3.36 | 3.64 | 3.95 | 4.28 | 4.67 | 3.16 | |
| Tadpole-B-LoRA-16Trainable Params (M)=5.1M2026.05 | 1.37 | 2.38 | 3.27 | 4.14 | 4.91 | 5.57 | 6.28 | 6.93 | 7.53 | 8.09 | 5.05 | |
| Tadpole-S-LoRA-32Trainable Params (M)=3.0M2026.05 | 2.02 | 3.47 | 4.69 | 5.85 | 6.92 | 7.86 | 8.85 | 9.8 | 10.65 | 11.44 | 7.16 | |
| WalrusTrainable Params (M)=1300.0M2026.05 | 2.44 | 2.92 | 2.97 | 3.05 | 3.68 | 4.45 | 5.55 | 6.76 | 8.2 | 9.58 | 4.96 | |
| AFNOTrainable Params (M)=64.1M2026.05 | 3.62 | 4.95 | 6.53 | 8.19 | 9.82 | 11.19 | 12.24 | 13.17 | 14.02 | 14.78 | 9.85 | |
| AViTTrainable Params (M)=60.0M2026.05 | 7.99 | 8.47 | 9.21 | 10 | 10.77 | 11.56 | 12.36 | 12.89 | 13.64 | 14.21 | 11.11 | |
| MorphNet-STrainable Params (M)=32.8M2026.05 | 10.95 | 11.89 | 12.36 | 12.98 | 13.22 | 13.35 | 13.83 | 14.29 | 14.69 | 15.04 | 13.26 | |
| DPOT-STrainable Params (M)=49.5M2026.05 | 11.96 | 13.6 | 14.8 | 15.92 | 16.64 | 17.2 | 18.01 | 18.7 | 19.41 | 20.05 | 16.63 | |
| Latent DynamicsTrainable Params (M)=7.4M2026.05 | 51.84 | 65.74 | 69.72 | 71.16 | 71.69 | 71.94 | 72 | 72.39 | 72.26 | 72.51 | 69.12 |