Classification On N Cars

Métriques

Accuracy (%)

Architecture

Params (M)

Representation

Résultats

Résultats de performance de divers modèles sur ce benchmark

					Paper Title
MEM	98.55	Transformer	-	Event Histogram	Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
GET	96.7	Transformer	4.5	Token	GET: Group Event Transformer for Event-Based Vision
ResNet34 + EST	92.5	CNN	21.8	EST	End-to-End Learning of Representations for Asynchronous Event-Based Data
Spiking VGG-11	92.4	SNN	9.23	VoxelCube	Object Detection with Spiking Neural Networks on Automotive Event Data
Spiking MobileNet-64	91.7	SNN	18.81	VoxelCube	Object Detection with Spiking Neural Networks on Automotive Event Data
Spiking DenseNet121-24	90.4	SNN	3.93	VoxelCube	Object Detection with Spiking Neural Networks on Automotive Event Data

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Classification On N Cars | SOTA | HyperAI