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Gesture Recognition On Dvs128 Gesture

Metrics

Accuracy (%)

Results

Performance results of various models on this benchmark

Model Name	Accuracy (%)	Paper Title	Repository
mMND (BPTT)	98.0	Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods	-
ALERT-Transformer Large	94.1	ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data	-
Event-SSM	97.7	Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models	-
OTTT	96.88	Online Training Through Time for Spiking Neural Networks
STL-SNN	97.22	A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks
DVSNet	95.15	Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks	-
TENNs-PLEIADES	100.00	TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
STS-ResNet	96.7	Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
LSTM	86.81	Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
EGRU	97.8	Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
LERT-Transformer Large	96.2	ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data	-
mMND (STDP)	96.6	Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods	-
AlexNet+LSTM	97.73	Temporal Binary Representation for Event-Based Action Recognition
S-TLLR	97.72	S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks

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