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Superpixel Image Classification On 75
Metrics
Classification Error
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Monet | 8.89 | Geometric deep learning on graphs and manifolds using mixture model CNNs | |
| SplineCNN | 4.78 | SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels | |
| GCGP | 4.2 | Graph Convolutional Gaussian Processes | - |
| GAT | 3.81 | Superpixel Image Classification with Graph Attention Networks | |
| PNCNN | 1.24 | Probabilistic Numeric Convolutional Neural Networks | |
| Dynamic Reduction Network (256 HD) | 0.95 | A Dynamic Reduction Network for Point Clouds |
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