SciFlow, a novel approach that combines Self-Cleaning Iterations (SCI) and Regression Focal Loss (RFL), effectively improves the accuracy of lightweight optical flow models while preserving real-time on-device efficiency.
MemFlow is a real-time method for optical flow estimation and prediction that effectively employs a memory module to aggregate historical motion information, enabling strong cross-dataset generalization performance with minimal computational overhead.