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SOTA
Image Classification
Image Classification On N Mnist
Image Classification On N Mnist
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
STS-ResNet
99.6
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
SNN
99.4
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
FastSNN
95.91
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks
Sparse Spiking Gradient Descent
92.7
Sparse Spiking Gradient Descent
0 of 4 row(s) selected.
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Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Image Classification
Image Classification On N Mnist
Image Classification On N Mnist
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
STS-ResNet
99.6
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
SNN
99.4
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
FastSNN
95.91
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks
Sparse Spiking Gradient Descent
92.7
Sparse Spiking Gradient Descent
0 of 4 row(s) selected.
Previous
Next
Image Classification On N Mnist | SOTA | HyperAI