VisDA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Object Classification | VisDA synthetic-to-real 2017 | Mean Accuracy94.3 | 139 | |
| Unsupervised Domain Adaptation | VisDA unsupervised domain adaptation 2017 | Mean Accuracy91.7 | 103 | |
| Domain Adaptation | VisDA 2017 (test) | Mean Class Accuracy92.8 | 98 | |
| Image Classification | VisDA 2017 (test) | Class Accuracy (Plane)99.5 | 92 | |
| Domain Adaptation | VisDA 2017 (val) | Mean Accuracy87.2 | 52 | |
| Image Classification | VisDA 17 | Aero Accuracy99.6 | 47 | |
| Classification | VisDA 2017 (val) | Mean Accuracy92.8 | 45 | |
| Image Classification | VisDA (val) | Plane Accuracy98.9 | 44 | |
| Unsupervised Domain Adaptation | VisDA Synthetic to Real 2017 | Accuracy87.8 | 42 | |
| Closed-set Source-Free Domain Adaptation | VisDA Sy→Re | Accuracy (Sy→Re)91.7 | 37 | |
| Covariance Test-Time Adaptation | VisDA 2017 | Accuracy84.26 | 36 | |
| Unsupervised Domain Adaptation | VisDA-17 | Mean Accuracy92.8 | 32 | |
| Universal Domain Adaptation | VisDA | Accuracy70.53 | 32 | |
| Image Classification | VisDA-C | Mean Accuracy92.1 | 31 | |
| Unsupervised Domain Adaptation | VisDA 2017 (test) | Plane Accuracy99.7 | 27 | |
| Source-free Domain Adaptation | VisDA (test) | Per-class Accuracy90.5 | 27 | |
| Domain Adaptation | VisDA-C (test) | S→R Score0.893 | 26 | |
| Partial Domain Adaptation | VisDA Synthetic-12 -> Real-6 2017 | Accuracy76.5 | 25 | |
| Unsupervised Domain Adaptation | VisDA (val) | Plane Accuracy99.8 | 24 | |
| Image Classification | Visda 2021 | Accuracy64.8 | 21 | |
| Object Recognition | VisDA C | Accuracy (Plane)97.8 | 21 | |
| Classification | VisDA 2017 (test) | Average Score83.7 | 19 | |
| Source-Free Domain Adaptation | VisDA | Accuracy88.6 | 18 | |
| Domain Adaptation | VisDA-C | Accuracy88 | 15 | |
| Domain Adaptation | VisDA | Overall Accuracy88.1 | 14 |
Showing 25 of 73 rows