Event-based Optical Flow
4 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Spiking Neural Networks (SNNs) serve as ideal paradigms to handle event camera outputs, but deep SNNs suffer in terms of performance due to the spike vanishing phenomenon.
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
Recently, many deep learning methods have shown great success in providing promising solutions to many event-based problems, such as optical flow estimation.
Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras
As an answer to these points, we propose an optimized framework for computing optical flow in real-time with both low- and high-resolution event cameras.
Secrets of Event-Based Optical Flow
Event cameras respond to scene dynamics and offer advantages to estimate motion.