MIRTH
发表于 2025-3-23 12:48:42
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gnarled
发表于 2025-3-23 17:37:07
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tic-douloureux
发表于 2025-3-23 20:08:31
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FAST
发表于 2025-3-23 23:09:18
Geological Lithology Semantic Segmentation Based on Deep Learning Method,achieved easily by working on remote sensing images with classification approaches. Deep learning has made remarkable achievements in processing remote sensing data as it can usually indicate the better accuracy than traditional methods. This chapter proposed the deep learning models for semantic se
Fibrinogen
发表于 2025-3-24 05:34:39
Remote Sensing Lithology Intelligent Segmentation Based on Multi-source Data,pment and mountain shadows. In addition, there are differences in the preservation information of multi-source remote sensing data. This article focuses on the problem of traditional models and single remote sensing data which are difficult to effectively extract geological features. A remote sensin
作呕
发表于 2025-3-24 07:13:06
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Precursor
发表于 2025-3-24 11:53:02
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变形词
发表于 2025-3-24 15:53:41
Lithological Scene Classification Based on Model Migration and Fine-Tuning Strategy, not available in another domain. To tackle the problem of difficult identification of unabled lithology in cross regional prediction using conventional models, this article is based on the idea of transfer learning. To develop an improved dense connected network for the source domain and fine-tune
沉默
发表于 2025-3-24 20:58:57
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值得
发表于 2025-3-25 00:38:45
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