Multi-label image classification extends the traditional single-label paradigm by assigning multiple simultaneous labels to each image, reflecting the complexity of real-world scenes. This task poses ...
Texture analysis and classification form a cornerstone of modern computer vision, enabling machines to interpret the surface properties and spatial arrangements of patterns in images. By extracting ...
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