SOTAVerified

Event data classification

Papers

Showing 112 of 12 papers

TitleStatusHype
Online Training Through Time for Spiking Neural NetworksCode1
Neuromorphic Data Augmentation for Training Spiking Neural NetworksCode1
Convolutional Spiking Neural Networks for Spatio-Temporal Feature ExtractionCode1
Pushing the boundaries of event subsampling in event-based video classification using CNNsCode0
Event Trojan: Asynchronous Event-based Backdoor AttacksCode0
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network0
Point-Voxel Absorbing Graph Representation Learning for Event Stream based RecognitionCode0
IM-Loss: Information Maximization Loss for Spiking Neural Networks0
Ecsnet: Spatio-temporal feature learning for event cameraCode0
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural NetworksCode0
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks0
A predictive model for the identification of learning styles in MOOC environmentsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1tdBN + NDA (VGG11)Accuracy81.7Unverified
2STL-SNNAccuracy78.5Unverified
3OTTTAccuracy77.1Unverified
4Dspike (ResNet-18)Accuracy75.4Unverified
5ECSNetAccuracy72.7Unverified
6IM-Loss (ResNet-19)Accuracy72.6Unverified
7STS-ResNetAccuracy69.2Unverified
#ModelMetricClaimedVerifiedStatus
1Event TrojanAccuracy (% )85.61Unverified
2ECSNetAccuracy (% )69.3Unverified