Papers with Code · CC BY-SA 4.0

Event data classification

10 평가 기록 3 datasets

논문

Ecsnet: Spatio-temporal feature learning for event camera

2022-08-29 이 페이지의 평가 2건

Accuracy: 72.7

A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks

2206.06129 2022-06-10 이 페이지의 평가 1건

Accuracy: 78.50

Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction

2003.12346 2020-03-27 이 페이지의 평가 1건

Accuracy: 69.2

Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks

2021-12-01 이 페이지의 평가 1건

Accuracy: 75.4

Event Trojan: Asynchronous Event-based Backdoor Attacks

2407.06838 2024-07-09 이 페이지의 평가 1건

Accuracy (% ): 85.61

IM-Loss: Information Maximization Loss for Spiking Neural Networks

2022-10-31 이 페이지의 평가 1건

Accuracy: 72.60

Neuromorphic Data Augmentation for Training Spiking Neural Networks

2203.06145 2022-03-11 이 페이지의 평가 1건

Accuracy: 81.7

Online Training Through Time for Spiking Neural Networks

2210.04195 2022-10-09 이 페이지의 평가 1건

Accuracy: 77.1

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network

2401.01912 2024-01-02 이 페이지의 평가 1건

Accuracy (% ): 94.91