Research map / Probabilistic and scientific modeling / Molecules and proteins
Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use EDnCNN to denoise noisy events | DVSNOISE20 · DVSNOISE20 | RPMD: 148 points | Helped |
| Use EDnCNN to denoise noisy events | DVSNOISE20 Alley and Wall sequences · Alley and Wall sequences | RPMD | No clear effect |
| Use FSAE rather than the noisy input | DVSNOISE20 · DVSNOISE20 | RPMD | No clear effect |
| Use IE rather than the noisy input | DVSNOISE20 · DVSNOISE20 | RPMD | No clear effect |
| Use IE+TE rather than the noisy input | DVSNOISE20 · DVSNOISE20 | RPMD | Helped |
| Use BAF, NN, or NN2 rather than EDnCNN | DVSNOISE20 · DVSNOISE20 scenes | RPMD: 3 of 16 scenes | Mixed |
| Train EDnCNN on real-camera data rather than noise-free data | EDnCNN · ESIM synthetic data at 0% BA noise | RPMD | Hurt |
| Use EDnCNN on synthetic data with increasing injected background activity noise | EDnCNN · ESIM synthetic data | RPMD | Helped |
Closest papers by meaning
- LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising (CVPR 2024 · similarity 0.86)
- EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision (AAAI 2025 · similarity 0.85)
- AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes (AAAI 2025 · similarity 0.84)
- Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention (CVPR 2025 · similarity 0.83)
- Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing (AAAI 2025 · similarity 0.83)
- E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning (AAAI 2024 · similarity 0.83)
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