Abstract: Semantic segmentation of remote sensing images (RSIs) has significant advances with the adoption of deep neural networks, taking the advantages of convolutional neural networks (CNNs) in ...
Abstract: Federated learning (FL) allows hospitals and medical centers to train models without sharing patient data. Instead of sending data to a central server, each institution trains the model ...
How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...
Unification: Otary offers a cohesive solution for image and geometry manipulation, letting you work seamlessly without switching tools. Readability: Self-explanatory by design. Otary’s clean, readable ...
Threshold-based segmentation by selecting a target color vector in one of six color spaces (RGB, HSV, CIELAB, CIEXYZ, YCbCr or YIQ (NTSC)) and isolating pixels within a user-specified tolerance.
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