Internal dataset
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Segmentation | Internal dataset | Dice Score89.29 | 13 | |
| 3D Tooth Segmentation | Internal Dataset | DSC0.9017 | 11 | |
| Cardiac Segmentation | Internal Dataset (PSAX) (test) | Dice Coefficient88.26 | 11 | |
| Cardiac Segmentation | Internal Dataset 4CH (test) | mDice90.28 | 11 | |
| Cardiac Segmentation | Internal Dataset 3CH (test) | mDice87.27 | 11 | |
| Cardiac Segmentation | Internal Dataset 2CH (test) | Dice Coefficient89.67 | 11 | |
| Physical Plausibility and Subject Deformity | Internal Dataset (ID train) | RM ACC78.48 | 8 | |
| apparent Total Femur-Tibia Angle (aTFA) Measurement | Internal Dataset (50 samples) | MAD (°)0.89 | 7 | |
| Video Quality Assessment | Internal dataset Symmetric Condition (test) | SRCC0.909 | 6 | |
| Question Answering | Internal Dataset | RC82.2 | 6 | |
| ASR Error Correction | Internal Dataset (dev) | WER10.31 | 6 | |
| ASR Error Correction | Internal Dataset (test) | WER10.22 | 6 | |
| Next Token Value Prediction | internal dataset | MRR (Attribute access)44.7 | 4 | |
| Text-to-Image Generation | Internal Dataset | gFID@30K4.1 | 3 | |
| Song Aesthetics Evaluation | internal dataset Average | MSE23.7 | 3 | |
| Song Aesthetics Evaluation | internal dataset Audio Quality | MSE20.3 | 3 | |
| Song Aesthetics Evaluation | internal dataset Arrangement | MSE16 | 3 | |
| Song Aesthetics Evaluation | internal dataset Singing | MSE27.3 | 3 | |
| Song Aesthetics Evaluation | internal dataset Overall | MSE21.7 | 3 | |
| Grapheme-to-Phoneme Conversion | Internal dataset | PER0.0304 | 2 |
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