Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Weidong Min"'
Publikováno v:
IET Image Processing, Vol 18, Iss 2, Pp 428-438 (2024)
Abstract Image inpainting networks based on deep learning techniques have been widely used in many important fields. However, most inpainting networks fail to generate desirable repaired images. This may be due to their failure to extract effective f
Externí odkaz:
https://doaj.org/article/8789288d2bd542d9a75d03ff5a18e4d6
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionAccurately counting the number of dense objects in an image, such as pedestrians or vehicles, is a challenging and practical task. The existing density map regression methods based on CNN are mainly used to count a class of dense objects
Externí odkaz:
https://doaj.org/article/6682b2e87f9f4adf8cfb2869f2927624
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 123, Iss , Pp 103489- (2023)
Ship detection of synthetic aperture radar (SAR) images has received much attention in the field of military and people's livelihood. The radar pulse signals reflected by buildings and sea clutter would reduce the salience of ships in images, making
Externí odkaz:
https://doaj.org/article/a4c3b3dbec654330887e13584c83ed30
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Medical image segmentation has long been a compelling and fundamental problem in the realm of neuroscience. This is an extremely challenging task due to the intensely interfering irrelevant background information to segment the target. State-of-the-a
Externí odkaz:
https://doaj.org/article/643555950eac4e08aad0ab8d20d08c53
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103259- (2023)
Semantic segmentation for large-scale point clouds in 3D computer vision remains challenging. Most existing studies focus on creating complex local geometry extractors without considering the sparsity of point clouds and the multi-scale problem of ob
Externí odkaz:
https://doaj.org/article/678abbcc290d41b1a86a489423228d91
Publikováno v:
IET Image Processing, Vol 15, Iss 14, Pp 3512-3521 (2021)
Abstract Crowd counting aims to count the number of people in crowded scenes, which is important to the security systems, traffic control and so on. The existing methods typically using local features cannot properly handle the perspective distortion
Externí odkaz:
https://doaj.org/article/a5d7c22753c04e09809600b1301edb75
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 113, Iss , Pp 102983- (2022)
In this research, a primitive prediction network embedding Spherical Coordinate Transformation (named SCT-Net), which is a simple and end-to-end deep neural network, is proposed for primitive instance segmentation of point clouds. The key point of SC
Externí odkaz:
https://doaj.org/article/477bcca23c184b4f855660f4c4ef527d
Publikováno v:
Sensors, Vol 23, Iss 9, p 4313 (2023)
The vehicle logo contains the vehicle’s identity information, so vehicle logo detection (VLD) technology has extremely important significance. Although the VLD field has been studied for many years, the detection task is still difficult due to the
Externí odkaz:
https://doaj.org/article/dac28b223be545dd85ae854d52ef3b85
Publikováno v:
IEEE Access, Vol 8, Pp 116824-116839 (2020)
Many image features have been proposed for image retrieval; hence, effectively fusing these features to alleviate the large variation in performance among image queries when using single image features has become a major challenge in remote sensing (
Externí odkaz:
https://doaj.org/article/cf4bd3b1103a45b48702b10f6a9d6bce
Publikováno v:
IEEE Access, Vol 8, Pp 17556-17566 (2020)
The existing deep learning methods for human fall detection have difficulties to distinguish falls from similar daily activities such as lying down because of not using the 3D network. Meanwhile, they are not suitable for mobile devices because they
Externí odkaz:
https://doaj.org/article/03695e57c2164b81bec41ee123e0de72