Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Rongchang Xie"'
Publikováno v:
Frontiers in Communications and Networks, Vol 5 (2024)
Efficient data collection and sharing play a crucial role in power infrastructure construction. However, in an outdoor remote area, the data collection efficiency is reduced because of the sparse distribution of base stations (BSs). Unmanned aerial v
Externí odkaz:
https://doaj.org/article/db531de1d4e0461bade07687eb68003e
Publikováno v:
Agronomy, Vol 14, Iss 6, p 1197 (2024)
Pests have caused significant losses to agriculture, greatly increasing the detection of pests in the planting process and the cost of pest management in the early stages. At this time, advances in computer vision and deep learning for the detection
Externí odkaz:
https://doaj.org/article/3e1910abf56c4b1989eaa75e065eb0ff
Publikováno v:
Symmetry, Vol 16, Iss 6, p 723 (2024)
Target detection algorithms can greatly improve the efficiency of tomato leaf disease detection and play an important technical role in intelligent tomato cultivation. However, there are some challenges in the detection process, such as the diversity
Externí odkaz:
https://doaj.org/article/80a8d0f6aa89406ebed1748a5126824e
Publikováno v:
Remote Sensing, Vol 11, Iss 3, p 305 (2019)
High-definition mapping of 3D lane lines has been widely needed for the highway documentation and intelligent navigation of autonomous systems. A mobile mapping system (MMS) captures both accurate 3D LiDAR point clouds and high-resolution images of l
Externí odkaz:
https://doaj.org/article/9f98d32c4fa14eb2b3ef4d0911ab0cc5
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Although good performance has been recently achieved in point cloud semantic segmentation based on deep learning, it has not been promoted due to differences in actual scenes and the time-consuming production of labeled data sets. Unsupervised domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4865369362a9e3f03d5bf06d0dbe2e04
https://doi.org/10.1109/lgrs.2020.3037702
https://doi.org/10.1109/lgrs.2020.3037702
Publikováno v:
CVPR
Cross view feature fusion is the key to address the occlusion problem in human pose estimation. The current fusion methods need to train a separate model for every pair of cameras making them difficult to scale. In this work, we introduce MetaFuse, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9243d11c68fb3c0fe7f66239623ff50
https://doi.org/10.1109/cvpr42600.2020.01370
https://doi.org/10.1109/cvpr42600.2020.01370
Publikováno v:
ICCV Workshops
In recent years, object detection has shown impressive results using supervised deep learning, but it remains challenging in a cross-domain environment. The variations of illumination, style, scale, and appearance in different domains can seriously a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace2718ef485fed6e6bb54a9929b900b
http://arxiv.org/abs/1907.11484
http://arxiv.org/abs/1907.11484
Publikováno v:
Remote Sensing; Volume 11; Issue 3; Pages: 305
Remote Sensing, Vol 11, Iss 3, p 305 (2019)
Remote Sensing, Vol 11, Iss 3, p 305 (2019)
High-definition mapping of 3D lane lines has been widely needed for the highway documentation and intelligent navigation of autonomous systems. A mobile mapping system (MMS) captures both accurate 3D LiDAR point clouds and high-resolution images of l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6b523d668f850dccaea6eccf2bbc8d9
Publikováno v:
Remote Sensing Technologies and Applications in Urban Environments.
Robust detection of road network in aerial imagery is a challenging task since roads have different pavement texture, road-side surroundings, as well as grades. Roads of different grade have different curvilinear saliency in the aerial imagery. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96107226d450c0cab917b448799c8282
https://doi.org/10.1117/12.2241945
https://doi.org/10.1117/12.2241945