Neural network approach for shape-based euhedral pyrite identification in X-r…
We explore an attenuation and shape-based identification of euhedral pyrites in high-resolution X-ray Computed Tomography (XCT) data using deep neural networks. To deal with the scarcity of annotat…
- Edisi
- Vol.21, March 2024
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 10 hlm PDF, 1.619 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
Domain adaptation of deep neural networks for tree part segmentation using sy…
Supervised deep learning algorithms have recently achieved state-of-the-art performance in the classification, segmentation and analysis of 3D LiDAR point cloud data in a wide-range of applications…
- Edisi
- Vol.14, December 2024
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 12 hlm PDF, 3.877 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Colour guided ground-to-UAV fire segmentation
Leveraging ground-annotated data for scene analysis on unmanned aerial vehicles (UAVs) can lead to valuable real-world applications. However, existing unsupervised domain adaptive (UDA) methods pri…
- Edisi
- Vol.14, December 2024
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 9 hlm PDF, 2.989 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Hasil Pencarian
Ditemukan 3 dari pencarian Anda melalui kata kunci: Subjek : "Domain adaptation"
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