MIT
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Saliency Prediction | MIT300 (test) | CC0.82 | 56 | |
| Named Entity Recognition | MIT | Movie Entity Score78.04 | 35 | |
| Named Entity Recognition | MIT (test) | Movie Entity Score7,804 | 13 | |
| Slot Filling | MIT-R | Accuracy88.51 | 13 | |
| Information Extraction | MIT | MIT-D Score95 | 10 | |
| Link Prediction | MIT 20% (test) | AUC0.926 | 9 | |
| State-of-Health (SOH) Estimation | MIT battery-level | MAPE7.1 | 5 | |
| SoH estimation | MIT | MAPE0.5 | 5 | |
| Action Recognition | MiT zero-shot | Top-1 Acc22.91 | 5 | |
| Action Recognition | MiT v1 | Accuracy48.4 | 4 | |
| Image Classification | MIT | Accuracy35.37 | 4 | |
| Pose Graph Optimization | MIT | Objective Value6.115 | 2 | |
| 3D Scene Generation | MIT (test) | CLIP Score29.45 | 2 | |
| Classification | MIT-67 | Metric- | 0 |
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