arXiv:1611.00931
공식 코드 · Papers with Code
Rough Set Based Color Channel Selection
원문 초록
Color channel selection is essential for accurate segmentation of sky and clouds in images obtained from ground-based sky cameras. Most prior works in cloud segmentation use threshold based methods on color channels selected in an ad-hoc manner. In this letter, we propose the use of rough sets for color channel selection in visible-light images. Our proposed approach assesses color channels with respect to their contribution for segmentation, and identifies the most effective ones.
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Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers
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PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning
RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
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