EventMix: An efficient data augmentation strategy for event-based learning-Reference-Cited by-同舟云学术

EventMix: An efficient data augmentation strategy for event-based learning

Published:2023-10 Issue: Volume:644 Page:119170
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Shen Guobin^ORCID,Zhao Dongcheng,Zeng Yi

Funder

Chinese Academy of Sciences

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

1. Learning to reconstruct high speed and high dynamic range videos from events;Zou,2021

2. Event-based motion segmentation by motion compensation;Stoffregen,2019

3. A low power, fully event-based gesture recognition system;Amir,2017

4. Unsupervised event-based optical flow using motion compensation;Zihao Zhu,2018

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spiking generative adversarial network with attention scoring decoding;Neural Networks;2024-10

2. EventAugment: Learning Augmentation Policies From Asynchronous Event-Based Data;IEEE Transactions on Cognitive and Developmental Systems;2024-08

3. Artificial intelligence-based spatio-temporal vision sensors: applications and prospects;Frontiers in Materials;2023-12-07

4. TactiGraph: An Asynchronous Graph Neural Network for Contact Angle Prediction Using Neuromorphic Vision-Based Tactile Sensing;Sensors;2023-07-17

5. CSTR: A Compact Spatio-Temporal Representation for Event-Based Vision;IEEE Access;2023