AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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We propose a fidelity-constrained framework that anchors the output of a black-box denoiser to its input without retraining and with little additional computation. The method linearly blends the denoised image with the input and selects the maximum blending factor that satisfies a prescribed local fidelity constraint u...
Home (Hough-space One-dimensional Matching of Extrema), an ultra-lightweight, training-free feature matching framework, achieves robust registration in challenging scenarios where point-based methods fail, operating at a much faster speed than existing line-based methods.
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