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SOTA
Audio-Klassifikation
Audio Classification On Shd
Audio Classification On Shd
Metriken
Percentage correct
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Percentage correct
Paper Title
Event-SSM
95.9
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
SNN with Dilated Convolution with Learnable Spacings
95.1
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings
SNN featuring learnable axonal delays with adaptively delay caps
92.45
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition
SNN with spatio-temporal filters and attention
92.4
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
CNN
92.4
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
SNN with temporal-wise attention
91.1
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification
SNN
87.0
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks
Recurrent convolutional SNN
83.5
Fluctuation-driven initialization for spiking neural network training
Recurrent SNN
83.2
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
Sparse Spiking Gradient Descent
77.5
Sparse Spiking Gradient Descent
FastSNN
70.32
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks
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Audio Classification On Shd | SOTA | HyperAI