TransNAS-Bench
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-task Neural Architecture Search | TransNAS-Bench-101 Macro level search space 1.0 | Cls O Acc47.96 | 14 | |
| Room Layout Reconstruction | TransNAS-Bench-101 Micro level search space | L2 Loss60.08 | 13 | |
| Scene Classification | TransNAS-Bench-101 Micro level search space | Accuracy54.9 | 13 | |
| Neural Architecture Search | TransNAS-Bench macro level search space 101 | Kendall's Tau0.61 | 7 | |
| Room Classification | TransNAS-Bench-101 Macro (Room) | Spearman Rho0.65 | 4 | |
| Autoencoding | TransNAS-Bench-101 Macro (AE) | Spearman rho0.83 | 4 | |
| Semantic Segmentation | TransNAS-Bench-101 Micro Segmentation | Spearman Rho0.87 | 4 |
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