ChestX
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Few-shot classification | ChestX (test) | Accuracy32.1 | 46 | |
| 5-way classification | ChestX BSCD-FSL | Average Accuracy39.48 | 45 | |
| 5-way Few-shot Classification | ChestX | Accuracy27.86 | 37 | |
| 5-way classification | ChestX (test) | Accuracy28.88 | 30 | |
| Few-shot Image Classification | ChestX CDFSL (test) | Accuracy (5-way 5-shot)28.5 | 25 | |
| Human Sensing | ChestX | ATR Ratio0.04 | 24 | |
| 5-way 5-shot classification | ChestX | Accuracy27.05 | 14 | |
| 5-way 1-shot classification | ChestX | Accuracy (%)23.04 | 14 | |
| Lung Segmentation | ChestX8 (test) | Dice Coefficient92.9 | 14 | |
| Few-shot classification | ChestX | Accuracy26.05 | 13 | |
| Classification | ChestX 10-shot | Accuracy31.7 | 9 | |
| Classification | ChestX 5-shot | Accuracy30 | 9 | |
| Classification | ChestX 3-shot | Accuracy29 | 9 | |
| Image Classification | ChestX | Accuracy54.42 | 9 | |
| 5-way Few-shot Classification | ChestX 50-shot (test) | Accuracy0.2978 | 8 | |
| 5-way Few-shot Classification | ChestX 20-shot (test) | Accuracy27.44 | 8 | |
| Human Sensing | ChestX 10-shot | Training Time (mins)6.84 | 5 | |
| Human Sensing | ChestX 5-shot | Training Time (mins)4.57 | 5 | |
| Human Sensing | ChestX 3-shot | Training Time (mins)2.14 | 5 | |
| Human Sensing | ChestX 10-shot | GPU Utilization63.43 | 5 | |
| Human Sensing | ChestX 5-shot | GPU Utilization55.46 | 5 | |
| Human Sensing | ChestX 3-shot | GPU Utilization46.66 | 5 | |
| Human Sensing | ChestX | Watch Latency (ms)670 | 4 | |
| Classification | ChestX (test) | Top-1 Accuracy58.61 | 4 |
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