Zobrazeno 1 - 10
of 276
pro vyhledávání: '"Changming, Sun"'
Publikováno v:
AI, Vol 5, Iss 1, Pp 405-425 (2024)
Few-shot fine-grained image classification (FSFGIC) methods refer to the classification of images (e.g., birds, flowers, and airplanes) belonging to different subclasses of the same species by a small number of labeled samples. Through feature repres
Externí odkaz:
https://doaj.org/article/9db9087c0aa34610a97043e4506c1d1a
Track-Before-Detect Algorithm Based on Cost-Reference Particle Filter Bank for Weak Target Detection
Publikováno v:
IEEE Access, Vol 11, Pp 121688-121701 (2023)
Detecting weak target is an important and challenging problem in many applications such as radar, sonar etc. However, conventional detection methods are often ineffective in this case because of low signal-to-noise ratio (SNR). This paper presents a
Externí odkaz:
https://doaj.org/article/4edf2b916c6e4851a37d63d4822f302d
Autor:
Muhammad Rizwan Khokher, Qiyu Liao, Adam L. Smith, Changming Sun, Donald Mackenzie, Mark R. Thomas, Dadong Wang, Everard J. Edwards
Publikováno v:
IEEE Access, Vol 11, Pp 37790-37808 (2023)
In viticulture, yield estimation is a key activity, which is important throughout the wine industry value chain. The earlier that an accurate yield estimation can be made the greater its value, increasing management options for grape growers and comm
Externí odkaz:
https://doaj.org/article/953c8605d90e40928d648dfe9a1ed785
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Learning discriminative visual patterns from image local salient regions is widely used for fine-grained visual classification (FGVC) tasks such as plant or animal species classification. A large number of complex networks have been designed
Externí odkaz:
https://doaj.org/article/b993825df3ad45f5800fba0dcb65aa90
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9355-9368 (2022)
Arbitrarily oriented object detection in remote sensing images is a challenging task. At present, most of the algorithms are dedicated to improving the detection accuracy, while ignoring the detection speed. In order to further improve the detection
Externí odkaz:
https://doaj.org/article/8720d643a1fa4c6bbddcb0402afe4b4c
Publikováno v:
IEEE Access, Vol 8, Pp 1803-1812 (2020)
In this paper, a new edge detection method is proposed where multi-scale anisotropic Gaussian kernels (AGKs) are used to obtain an edge map from an input image. The main advantage of the proposed method is that high edge detection accuracy and edge r
Externí odkaz:
https://doaj.org/article/5c03a13f8a874f798817eb64bf9a7efd
Publikováno v:
IEEE Access, Vol 8, Pp 194092-194104 (2020)
High-efficiency image corner detection, one of the most important and critical basic technology in industrial image processing, is to detect point features from an input image in real-time. In this article, we propose a new corner detection method wh
Externí odkaz:
https://doaj.org/article/4e85874245254dcd86ebba1c9e9b4519
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:4694-4712
Interest point detection is one of the most fundamental and critical problems in computer vision and image processing. In this paper, we carry out a comprehensive review on image feature information (IFI) extraction techniques for interest point dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b9a4b7fbd27bf3efbd3da08ad638077
https://doi.org/10.1109/tpami.2022.3201185
https://doi.org/10.1109/tpami.2022.3201185
Publikováno v:
Methods. 212:31-38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::692585e4091523d573dee8c4f8435161
https://doi.org/10.1016/j.ymeth.2023.01.005
https://doi.org/10.1016/j.ymeth.2023.01.005
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Automatic extraction of liver and tumor from CT volumes is a challenging task due to their heterogeneous and diffusive shapes. Recently, 2D deep convolutional neural networks have become popular in medical image segmentation tasks because of the util
Externí odkaz:
https://doaj.org/article/4d387d15936740dbbe066027e63f9c0f