Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Sujuan Hou"'
Publikováno v:
IET Computer Vision, Vol 17, Iss 5, Pp 586-598 (2023)
Abstract The proliferation of deep learning has driven research into deep learning‐based logo detection, which usually needs a large number of annotated data to train the model. However, due to the occasional appearance of new brands or the high co
Externí odkaz:
https://doaj.org/article/cb9c73c7971c4f6886e41a1d004ffdd3
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5156-5169 (2022)
Fruit object detection is crucial for automatic harvesting systems, serving applications such as orchard yield measurement and fruit harvesting. In order to achieve fast recognition and localization of green apples and meet the real-time working requ
Externí odkaz:
https://doaj.org/article/97aa9b65c65b43a191a0b8a8b110f462
Publikováno v:
IEEE Access, Vol 8, Pp 8668-8674 (2020)
Sparse representation based classification method has led to a wide variety of extensions of representation based methods for face recognition. All of these methods partially reveal that collaborative representation is a crucial factor to make sparse
Externí odkaz:
https://doaj.org/article/e5b92217c4ab4f2fa5902acb0dce8e4b
Publikováno v:
Mathematics, Vol 11, Iss 2, p 481 (2023)
Logo detection is a technology that identifies logos in images and returns their locations. With logo detection technology, brands can check how often their logos are displayed on social media platforms and elsewhere online and how they appear. It ha
Externí odkaz:
https://doaj.org/article/c71e732cf67a4021b9d78dcb7235d578
Publikováno v:
Entropy, Vol 25, Iss 1, p 174 (2023)
Logo detection is one of the crucial branches in computer vision due to various real-world applications, such as automatic logo detection and recognition, intelligent transportation, and trademark infringement detection. Compared with traditional han
Externí odkaz:
https://doaj.org/article/0c0d1b9bd13d4eb4b7321160579cf354
Publikováno v:
Foods, Vol 11, Iss 21, p 3429 (2022)
Food non-destructive detection technology (NDDT) is a powerful impetus to the development of food safety and quality. One of the essential tasks of food quality regulation is the non-destructive detection of the food’s nutrient content. However, ex
Externí odkaz:
https://doaj.org/article/64e84d25363e4952aa3afab46a7e81df
Publikováno v:
IEEE Access, Vol 7, Pp 151273-151281 (2019)
Currently, there are many tools available online for T-cell epitope prediction. They usually focus on the binding of peptides to major histocompatibility complex (MHC) molecules on the surface of antigen-presenting cells (APCs). However, the binding
Externí odkaz:
https://doaj.org/article/b7c66f5d1d94474da10b5873b317a7d4
Publikováno v:
IET Computer Vision, Vol 12, Iss 6, Pp 900-907 (2018)
Various image pre‐processing tasks in optical coherence tomography (OCT) systems involve reversing degradation effects (e.g. deblurring). Current deblurring research mainly focuses on how to build suitable degradation models using deconvolution ope
Externí odkaz:
https://doaj.org/article/93ae1e8199134efb934f783bfc407d1c
Autor:
Wenjun Duan, Yuanjie Zheng, Yanhui Ding, Sujuan Hou, Yufang Tang, Yan Xu, Maoling Qin, Jianfeng Wu, Dinggang Shen, Hongsheng Bi
Publikováno v:
IEEE Access, Vol 6, Pp 25130-25141 (2018)
Retinal layer segmentation from optical coherence tomography (OCT) is of fundamental importance for measuring retinal layer thicknesses. These thickness measurements have been shown to correlate well with the severity of different ocular diseases; he
Externí odkaz:
https://doaj.org/article/0711561f27814cf092bea6f7c0268177
Publikováno v:
Complexity, Vol 2017 (2017)
We introduce a logo classification mechanism which combines a series of deep representations obtained by fine-tuning convolutional neural network (CNN) architectures and traditional pattern recognition algorithms. In order to evaluate the proposed me
Externí odkaz:
https://doaj.org/article/bd50167cd8c947a2a6415be9abe21b85