Researchers at Northeastern University Propose NeuFlow: A Highly Efficient Optical Flow Architecture that Addresses both High Accuracy and Computational Cost Concerns

Real-time, high-accuracy optical flow estimation is critical for analyzing dynamic scenes in computer vision. Traditional methodologies, while foundational, have often stumbled upon the computational versus accuracy problem, especially when executed on edge devices. The advent of deep learning propelled the field forward, offering improved accuracy but at the expense of computational efficiency. This dichotomy is […]

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