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Research questionHow can mineral image classifiers adapt scale selection amid intra-class variation and visually similar categories?Mineral categories can vary considerably in appearance while differing only in subtle visual cues. Fixed aggregation across image scales may not suit every sample, making visually confusable categories difficult to separate.
AI
Computer Vision
Image & Video Processing
Machine Learning
Research Paper
Latest papersRecent research connected to this question, newest first.RouteGraph-Mona: Confusion-Aware Routing Fine-Tuning for Mineral Image ClassificationThe source studies parameter-efficient adaptation of pretrained visual models for mineral image classification using multi-scale visual adapters. Evidence comes from three public mineral image datasets and two visual backbones, with performance reported primarily through mean accuracy.research paper · Sep 2, 2026
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