EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-Based Optical Flow With Hybrid Motion-Compensation Loss-Reference-Cited by-同舟云学术

EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-Based Optical Flow With Hybrid Motion-Compensation Loss

Published:2024 Issue: Volume:73 Page:1-15
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhuang Hao¹^ORCID,Fang Zheng¹^ORCID,Huang Xinjie²^ORCID,Hou Kuanxu²^ORCID,Kong Delei²^ORCID,Hu Chenming²^ORCID

Affiliation:

1. Faculty of Robot Science and Engineering and the Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, Northeastern University, Shenyang, China

2. Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

111 Project

Intel Neuromorphic Research Community

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10433212.pdf?arnumber=10433212

Reference50 articles.

1. Event-Based Vision: A Survey

2. Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception

3. Deep learning for event-based vision: A comprehensive survey and benchmarks;Zheng;arXiv:2302.08890,2023

4. Event-VPR: End-to-End Weakly Supervised Deep Network Architecture for Visual Place Recognition Using Event-Based Vision Sensor

5. FE-Fusion-VPR: Attention-Based Multi-Scale Network Architecture for Visual Place Recognition by Fusing Frames and Events

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