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This paper proposes a lazy arithmetic approach using systolic arrays to close the verification gap for deep neural networks on embedded systems, addressing numerical incompatibilities and hardware vulnerabilities.
OpenCV 5 is a major release of the computer vision library, featuring a new DNN engine, improved ONNX support, hardware acceleration, and a cleaner architecture. It represents a significant modernization for developers working with classical vision, deep learning, and edge deployment.