Classification On N Cars
المقاييس
Accuracy (%)
Architecture
Params (M)
Representation
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | Accuracy (%) | Architecture | Params (M) | Representation |
|---|---|---|---|---|
| object-detection-with-spiking-neural-networks | 90.4 | SNN | 3.93 | VoxelCube |
| masked-event-modeling-self-supervised | 98.55 | Transformer | - | Event Histogram |
| object-detection-with-spiking-neural-networks | 91.7 | SNN | 18.81 | VoxelCube |
| end-to-end-learning-of-representations-for | 92.5 | CNN | 21.8 | EST |
| get-group-event-transformer-for-event-based-1 | 96.7 | Transformer | 4.5 | Token |
| object-detection-with-spiking-neural-networks | 92.4 | SNN | 9.23 | VoxelCube |