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Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology2 results

ClassificationonN-CARS
Accuracy (%)· 2023-10-04
96.7
best: 98.55 (MEM)
GET: Group Event Transformer for Event-Based Vision arXiv:2310.02642
ClassificationonN-CARS
Params (M)· 2023-10-04
4.5
best: 21.8 (ResNet34 + EST)
GET: Group Event Transformer for Event-Based Vision arXiv:2310.02642