Hugging Face Trending Papers June 4, 2026

Comparison of Deep Learning Frameworks For Rice Disease Mapping From UAV Multispectral Imaging

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In this study, UAV multispectral imagery is used to segment the severity of bacterial leaf blight (BLB) in rice using convolutional neural networks (CNNs) and transformer-based models. The evaluated architectures include U-Net with a ResNet- 101 encoder, U-Net++ with EfficientNet-B3 and EfficientNetB7, DeepLabV3+, and SegFormer, all trained under a common pipeline with three input configurations (multispectral only, multispectral+NDVI, and multispectral+NDRE).

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arXiv Machine Learning

Jul 9

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By Raunak Kumar, Soumyashree Kar

computer-vision

arXiv Computer Vision

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When Ground-Truth Fidelity Matters: An Orchestrated UAS Framework for Wheat Streak Mosaic Virus Detection Using Vision Transformers and Machine Learning

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llms computer-vision safety

arXiv AI

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safety

arXiv AI

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llms computer-vision

arXiv AI

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fine-tuning benchmarks

arXiv Computer Vision

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Enhancing Shrimp Disease Detection via Deep Learning and Data Refinement for Resilient Aquaculture

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Pixel-Precise Explainable Stress Indexing: A Semantic Segmentation Framework for Disease Severity Quantification in Field Crops

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