How Do Neural Networks Estimate Optical Flow A Neuropsychology-Inspired Study

Author:

De Jong David BenjaminORCID,Paredes-Valles FedericoORCID,De Croon Guido Cornelis Henricus EugeneORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Cited by 5 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. Fully neuromorphic vision and control for autonomous drone flight;Science Robotics;2024-05-15

2. Brain-Inspired Learning, Perception, and Cognition: A Comprehensive Review;IEEE Transactions on Neural Networks and Learning Systems;2024

3. A Unified Model Fusing Region of Interest Detection and Super Resolution for Video Compression;Computers, Materials & Continua;2024

4. FlowNAS: Neural Architecture Search for Optical Flow Estimation;International Journal of Computer Vision;2023-10-25

5. Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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