Zobrazeno 1 - 10
of 315
pro vyhledávání: '"Zhenglin Li"'
Publikováno v:
IET Image Processing, Vol 18, Iss 11, Pp 2962-2973 (2024)
Abstract Recent advancements in deep learning have significantly improved performance in the multi‐view stereo (MVS) domain, yet achieving a balance between reconstruction efficiency and quality remains challenging for learning‐based MVS methods.
Externí odkaz:
https://doaj.org/article/af099f21d76f461a970c93171e3fa108
Publikováno v:
Sensors, Vol 24, Iss 21, p 6991 (2024)
Smart clothes equipped with flexible sensing systems provide a comfortable means to track health status in real time. Although these sensors are flexible and small, the core signal-processing units still rely on a conventional printed circuit board (
Externí odkaz:
https://doaj.org/article/8e28975e778f476da2ad51c9bf50742d
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 10, p 356 (2024)
To tackle problems such as the destruction of topological structures and the loss of detailed features in the simplification of 3D building models, we propose a 3D building model simplification algorithm that considers detailed features and topologic
Externí odkaz:
https://doaj.org/article/5448bea433ec437db016f9d8a5a6c79e
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/bba050dd502e432f9f86e0e3cb7df5a6
Publikováno v:
Advanced Science, Vol 11, Iss 9, Pp n/a-n/a (2024)
Abstract Cancer remains a global health challenge, demanding early detection and accurate diagnosis for improved patient outcomes. An intelligent paradigm is introduced that elevates label‐free nonlinear optical imaging with contrastive patch‐wis
Externí odkaz:
https://doaj.org/article/9ec26215227d454b960955d51c91606a
Publikováno v:
Lubricants, Vol 12, Iss 8, p 296 (2024)
A heterostructure film composed of graphene and h-BN has superlubricity and long-term anti-corrosion performance, enabling its potential applications as low-friction and corrosion-resistant coatings, especially in marine environments. However, the gr
Externí odkaz:
https://doaj.org/article/2f54d40140044a79abba9c8cee0c00f2
Publikováno v:
Cyborg and Bionic Systems, Vol 5 (2024)
Monocular 3D object detection plays a pivotal role in autonomous driving, presenting a formidable challenge by requiring the precise localization of 3D objects within a single image, devoid of depth information. Most existing methods in this domain f
Externí odkaz:
https://doaj.org/article/93e973a4e70c471a947f0020b3ebece5
Publikováno v:
Cyborg and Bionic Systems, Vol 5 (2024)
The fusion of millimeter-wave radar and camera modalities is crucial for improving the accuracy and completeness of 3-dimensional (3D) object detection. Most existing methods extract features from each modality separately and conduct fusion with spec
Externí odkaz:
https://doaj.org/article/f9a180844c404e42b2f923f58e886d97
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1862 (2024)
To solve the problem of array detection performance in environments with mesoscale eddies, this study utilizes the Gaussian eddy model to describe the sound speed structure disturbed by eddies. Through numerical simulations, the corresponding sound f
Externí odkaz:
https://doaj.org/article/26d702426061489f9907092c1e9f8947
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2844 (2024)
Unsupervised Domain Adaptative Object Detection (UDAOD) aims to alleviate the gap between the source domain and the target domain. Previous methods sought to plainly align global and local features across domains but adapted numerous pooled features
Externí odkaz:
https://doaj.org/article/037bb4d89ce74a61bf61c22533e80cf0