Human
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Mitochondria Segmentation | Human → Stem | Dice0.863 | 26 | |
| Human Pose Prediction | Human 3.6M | Purchases Error0.54 | 18 | |
| Movement Decoding | Human-C (Session 16-17) | F1 Score80.6 | 15 | |
| Drug-Target Interaction Prediction | Human | AUROC0.989 | 15 | |
| Movement Detection | Human-D | Accuracy77.4 | 12 | |
| Multiple-Instance Learning | Human dataset | Accuracy92.29 | 10 | |
| Future Frame Prediction | Human 3.6 | MSE12.6 | 8 | |
| Drug-Target Interaction | Human | AUROC98.9 | 8 | |
| De novo peptide sequencing | Human | AA Precision0.752 | 7 | |
| Human Motion Prediction | Human 3.6M Walking Dog | Error (80ms)17 | 6 | |
| Human Motion Prediction | Human 3.6M (Taking Photo) | Error (80ms)8.2 | 6 | |
| Human Motion Prediction | Human 3.6M Greeting | Error (80ms)11.8 | 6 | |
| Human Motion Prediction | Human 3.6M Walking | Error (80ms)10 | 6 | |
| Topic Segmentation | Human 1.0 (test) | Boundary Similarity (n=2)38 | 5 | |
| Texture Reconstruction | Human (test) | PSNR32.43 | 4 | |
| Knowledge Graph Construction | Human | Accuracy81.8 | 3 | |
| Classification | HUMAN | Accuracy0.74 | 3 | |
| Financial Assistance Chatbot Response Generation | Human Beta (test) | Fluency4.5 | 2 | |
| Human Pose Forecasting | Human 3.6M long-term forecasting | Directions Error (80ms)0.38 | 2 | |
| Gram matrix computation | Human | Metric- | 0 |
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