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A Semi-Supervised Wildfire Image Segmentation Network With Multi-Scale Structural Fusion and Pixel-Level Contrastive Consistency by kimcholho24 is a document available to read on EtoBox.

What is A Semi-Supervised Wildfire Image Segmentation Network With Multi-Scale Structural Fusion and Pixel-Level Contrastive Consistency about?

The article presents a semi-supervised wildfire image segmentation framework that enhances performance under limited annotation conditions through multi-scale structural fusion and pixel-level contrastive consistency learning. It introduces a Lagrange Interpolation Module for effective multi-scale feature fusion and a Pixel Contrast Consistency mechanism to maintain high accuracy while reducing reliance on large labeled datasets. Experiments demonstrate that the proposed method outperforms existing approach

Author

kimcholho24

Language

EN