G3DNet-18 SVM, Fine-Tuned, Vote
Reported on 6 benchmarks across 6 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision4 results
- Accuracy· uses extra data93.1best: 94.93 (PolyNet)
- Accuracy· uses extra data93.1best: 94.93 (PolyNet)
- Accuracy· uses extra data93.1best: 94.93 (PolyNet)
- Accuracy· uses extra data93.1best: 94.93 (PolyNet)
Methodology1 result
- Accuracy· uses extra data93.1best: 94.93 (PolyNet)
Medical1 result
- Accuracy· uses extra data93.1best: 94.93 (PolyNet)