SOTAVerified

Event data classification

Papers

Showing 110 of 12 papers

TitleStatusHype
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
Online Training Through Time for Spiking Neural NetworksCode1
Ecsnet: Spatio-temporal feature learning for event cameraCode0
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural NetworksCode0
Neuromorphic Data Augmentation for Training Spiking Neural NetworksCode1
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks0
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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