Classification On N Imagenet Mini
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Model Name | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| Binary Event Image | 53.52 | N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras | - |
| Timestamp Image | 60.46 | N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras | - |
| DiST | 59.74 | N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras | - |
| Event Imge | 61.42 | N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras | - |
| Event Histogram | 61.02 | N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras | - |
| Sorted Time Surface | 58.38 | N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras | - |
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