EventAugment: Learning Augmentation Policies From Asynchronous Event-Based Data-Reference-Cited by-同舟云学术

EventAugment: Learning Augmentation Policies From Asynchronous Event-Based Data

Published:2024-08 Issue:4 Volume:16 Page:1521-1532
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Gu Fuqiang¹^ORCID,Dou Jiarui¹^ORCID,Li Mingyan¹^ORCID,Long Xianlei¹^ORCID,Guo Songtao¹^ORCID,Chen Chao¹^ORCID,Liu Kai¹^ORCID,Jiao Xianlong¹^ORCID,Li Ruiyuan¹^ORCID

Affiliation:

1. College of Computer Science, Chongqing University, Chongqing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Venture & Innovation Support Program for Chongqing Overseas Returnees

Chong Startup Project for Doctorate Scholars

Excellent Youth Foundation of Chongqing

Natural Science Foundation of Chongqing Municipality

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7274989/10633860/10478253.pdf?arnumber=10478253

Reference65 articles.

1. A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor

2. Event-Driven Visual-Tactile Sensing and Learning for Robots

3. Asynchronous Event-Based Visual Shape Tracking for Stable Haptic Feedback in Microrobotics

4. TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition

5. Spatiotemporal Registration for Event-based Visual Odometry

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1. A Dynamic Vision Sensor Object Recognition Model Based on Trainable Event-Driven Convolution and Spiking Attention Mechanism;2024