Zobrazeno 1 - 10
of 1 113
pro vyhledávání: '"LI Shutao"'
Publikováno v:
南方能源建设, Vol 9, Iss S1, Pp 30-35 (2022)
[Introduction] At present, the traditional power infrastructure operation and maintenance management system has a low degree of refinement and visualization.In order to improve the quality and efficiency of operation and maintenance management, [Meth
Externí odkaz:
https://doaj.org/article/e6e3d3a2e4804cd4ab3ce211909d9a18
Object detection algorithms are pivotal components of unmanned aerial vehicle (UAV) imaging systems, extensively employed in complex fields. However, images captured by high-mobility UAVs often suffer from motion blur cases, which significantly imped
Externí odkaz:
http://arxiv.org/abs/2410.17822
Publikováno v:
南方能源建设, Vol 6, Iss 2, Pp 118-123 (2019)
[Introduction] With the development of cloud computing, big data, artificial intelligence, 5G, and ubiquitous Internet of Things, the data center for the power industry is to improve the planning and leading of the data center of the power industry a
Externí odkaz:
https://doaj.org/article/40b03369f8f64e568997daf62c578016
The Agriculture-Vision Challenge at CVPR 2024 aims at leveraging semantic segmentation models to produce pixel level semantic segmentation labels within regions of interest for multi-modality satellite images. It is one of the most famous and competi
Externí odkaz:
http://arxiv.org/abs/2406.12271
Most of the existing methods for video understanding primarily focus on videos only lasting tens of seconds, with limited exploration of techniques for handling long videos. The increased number of frames in long videos poses two main challenges: dif
Externí odkaz:
http://arxiv.org/abs/2406.12846
Weakly-Supervised Semantic Segmentation (WSSS) aims to train segmentation models by weak labels, which is receiving significant attention due to its low annotation cost. Existing approaches focus on generating pseudo labels for supervision while larg
Externí odkaz:
http://arxiv.org/abs/2403.13225
Knowledge-based visual question answering (VQA) requires world knowledge beyond the image for accurate answer. Recently, instead of extra knowledge bases, a large language model (LLM) like GPT-3 is activated as an implicit knowledge engine to jointly
Externí odkaz:
http://arxiv.org/abs/2402.02503
Integrating a low-spatial-resolution hyperspectral image (LR-HSI) with a high-spatial-resolution multispectral image (HR-MSI) is recognized as a valid method for acquiring HR-HSI. Among the current fusion approaches, the tensor ring (TR) decompositio
Externí odkaz:
http://arxiv.org/abs/2310.10044