mlsanityData to 14 Oct 2026

Spike-TBR: a Noise Resilient Neuromorphic Event Representation

arXiv 2506.04817 ↗First posted 5 Jun 2025cs.CVcited by 1

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Abstract (arXiv)

Event cameras offer significant advantages over traditional frame-based sensors, including higher temporal resolution, lower latency and dynamic range. However, efficiently converting event streams into formats compatible with standard computer vision pipelines remains a challenging problem, particularly in the presence of noise. In this paper, we propose Spike-TBR, a novel event-based encoding strategy based on Temporal Binary Representation (TBR), addressing its vulnerability to noise by integrating spiking neurons. Spike-TBR combines the frame-based advantages of TBR with the noise-filtering capabilities of spiking neural networks, creating a more robust representation of event streams. We evaluate four variants of Spike-TBR, each using different spiking neurons, across multiple datasets, demonstrating superior performance in noise-affected scenarios while improving the results on clean data. Our method bridges the gap between spike-based and frame-based processing, offering a simple noise-resilient solution for event-driven vision applications.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 34 of its 55 references that are in the map. First posted on arXiv 5 Jun 2025.

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34 of 55 references.

References · 34

  1. 2017Quo Vadis, Action Recognition? A New Model and the Kinetics Datasetcited by 3,270
  2. 2019Event-based Vision: A Surveycited by 1,016
  3. 2020Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networkscited by 345
  4. 2015Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccadescited by 314
  5. 2022Spikformer: When Spiking Neural Network Meets Transformercited by 271
  6. 2019End-to-End Learning of Representations for Asynchronous Event-Based Datacited by 217
  7. 2023SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligencecited by 169
  8. 2021Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networkscited by 99
  9. 2020Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networkscited by 98
  10. 2021ACTION-Net: Multipath Excitation for Action Recognitioncited by 63
  11. 2018Asynchronous Convolutional Networks for Object Detection in Neuromorphic Camerascited by 57
  12. 2022Neuromorphic Data Augmentation for Training Spiking Neural Networkscited by 52
22 more
  1. 2020Temporal Binary Representation for Event-Based Action Recognitioncited by 51
  2. 2022Online Training Through Time for Spiking Neural Networkscited by 49
  3. 2020Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networkscited by 43
  4. 2023Optical flow estimation from event-based cameras and spiking neural networkscited by 33
  5. 2024Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Modelscited by 31
  6. 2022Efficient recurrent architectures through activity sparsity and sparse back-propagation through timecited by 26
  7. 2023Training Full Spike Neural Networks via Auxiliary Accumulation Pathwaycited by 26
  8. 2021Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architecturescited by 25
  9. 2021Learning from Event Cameras with Sparse Spiking Convolutional Neural Networkscited by 25
  10. 2021BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neuronscited by 22
  11. 2019DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Trackingcited by 19
  12. 2024Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networkcited by 19
  13. 2023Neuromorphic Event-based Facial Expression Recognitioncited by 18
  14. 2020Towards Understanding the Effect of Leak in Spiking Neural Networkscited by 15
  15. 2024Neuromorphic Facial Analysis with Cross-Modal Supervisioncited by 7
  16. 2021Noise-Robust Deep Spiking Neural Networks with Temporal Informationcited by 5
  17. 2024Neuromorphic Valence and Arousal Estimationcited by 5
  18. 2023Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimationcited by 4
  19. 2023RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Networkcited by 3
  20. 2024MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Readingcited by 3
  21. 2022Effects of noise on leaky integrate-and-fire neuron models for neuromorphic computing applicationscited by 1
  22. 2024TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Visioncited by 1

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Citing papers per year: 2025: 1.

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