Research map / Architectures and efficiency / Spiking networks
Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add adaptive membrane-potential neurons (AMP-LIF) rather than fixed MP neuron variants (ablation) | PA-EVSNN · IJRR | MSE: 0.053 -> 0.042 | Helped |
| Use IF neurons instead of LIF neurons (ablation) | EVSNN · IJRR | MSE: 0.061 -> 0.108 | Hurt |
| Use PLIF instead of LIF neurons (ablation) | EVSNN · IJRR | MSE: 0.061 -> 0.063 | Hurt |
| Use MP-IF rather than AMP-LIF neurons (ablation) | PA-EVSNN · IJRR | MSE: 0.042 -> 0.121 | Hurt |
| Use MP-LIF rather than AMP-LIF neurons (ablation) | PA-EVSNN · IJRR | MSE: 0.042 -> 0.056 | Hurt |
| Use ADD instead of CONCAT skip connections (ablation) | EVSNN · IJRR | MSE: 0.061 -> 0.049 | Helped |
| Use OR instead of CONCAT skip connections (ablation) | EVSNN · IJRR | MSE: 0.061 -> 0.063 | Hurt |
| Use IAND instead of CONCAT skip connections (ablation) | EVSNN · IJRR | MSE: 0.061 -> 0.051 | Helped |
| Use ADD instead of CONCAT skip connections (ablation) | PA-EVSNN · IJRR | MSE: 0.046 -> 0.041 | Helped |
| Use OR instead of CONCAT skip connections (ablation) | PA-EVSNN · IJRR | MSE: 0.046 -> 0.064 | Hurt |
| Use IAND instead of CONCAT skip connections (ablation) | PA-EVSNN · IJRR | MSE: 0.046 -> 0.055 | Hurt |
| Use three encoder layers rather than two (ablation) | PA-EVSNN · IJRR | MSE: 0.050 -> 0.046 | Helped |
Closest papers by meaning
- Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing (AAAI 2025 · similarity 0.90)
- Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras (NeurIPS 2024 · similarity 0.89)
- SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition (ICLR 2024 · similarity 0.88)
- Spiking Neural Network as Adaptive Event Stream Slicer (NeurIPS 2024 · similarity 0.88)
- Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention (CVPR 2025 · similarity 0.88)
- Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips (ICLR 2024 · similarity 0.87)
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