Spiking Transformer Framework for Event-Based Object Detection
- 3 August 2026
- book chapter
- Published by Springer Nature
- p. 374-388
Abstract
No abstract availableKeywords
This publication has 37 references indexed in Scilit:
- Recurrent Vision Transformers for Object Detection with Event Cameras2023
- MaxViT: Multi-axis Vision Transformer2022
- EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers2022
- AEGNN: Asynchronous Event-based Graph Neural Networks2022
- Event-Based Asynchronous Sparse Convolutional Networks2020
- HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification2018
- Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars2018
- Feature Pyramid Networks for Object Detection2017
- Deep Residual Learning for Image Recognition2016
- Networks of spiking neurons: The third generation of neural network modelsNeural Networks, 1997