Masked Spiking Transformer
Author:
Affiliation:
1. The Hong Kong University of Science and Technology (Guangzhou)
2. The University of Hong Kong
Funder
Innovation and Technology Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377234.pdf?arnumber=10377234
Reference58 articles.
1. Graph-Based Object Classification for Neuromorphic Vision Sensing
2. Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks;Bu
3. Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
4. Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
5. ImageNet: A large-scale hierarchical image database
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1. EventASEG: An Event-Based Asynchronous Segmentation of Road With Likelihood Attention;IEEE Robotics and Automation Letters;2024-08
2. Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. Spiking ViT: spiking neural networks with transformer—attention for steel surface defect classification;Journal of Electronic Imaging;2024-05-02
4. Spiking Denoising Diffusion Probabilistic Models;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
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