Patent
Convolution neural network migration method, device, electronic device and storage medium
Qijie Wei,Hao Wang,Dayong Ding +2 more
- 28 Dec 2018
2
TL;DR: In this article, a convolution neural network migration method is proposed to improve the last pooling layer of the first convolutional neural network to obtain a second convolution network.
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Abstract: Embodiments of the present disclosure disclose a convolution neural network migration method. The method comprises the steps of: improving the last pooling layer of the first convolution neural network to obtain a second convolution neural network so that the resolution of the input image of the second convolution neural network is greater than the resolution of the input image of the first convolution neural network. The method is suitable for input data sets of different sizes, such as high resolution fundus images, and saves the computational resources consumed in the development of specialconvolutional neural networks.
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Citations
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TL;DR: In this paper, a method based on F-SDFS was proposed for crop pest detection using Inception V3 and Sofer NMS for fine-tuning of candidate boxes, and the detection performance was improved by using a method of data amplification and Dropout layer addition.
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Method and device for dynamically accessing storage equipment in cloud storage system
Li Yulai,Zhang Tianshi,Chen Zhen +2 more
- 16 Mar 2021
TL;DR: In this paper, a method and device for dynamically accessing storage equipment in a cloud storage system, and belongs to the field of computer communication, is presented, and the method comprises the steps: obtaining a feature data set corresponding to each storage equipment, wherein the feature set comprises data feature values of stored data of corresponding storagedevices and device feature value of all the storage devices in the cloud storage systems; utilizing a Resnet18 network structure to carry out transfer learning on the feature data sets corresponding to the storage device to obtain a neural network model; obtaining a data feature
References
Self supervised deep representation learning for fine-grained body part recognition
Pengyue Zhang,Fusheng Wang,Yefeng Zheng +2 more
- 29 Aug 2017
TL;DR: This work is the first attempt studying the problem of robust body part recognition at a continuous level and can achieve high accuracy with a slice location estimation error of only a few slices on CT and MR data.
105
Patent
Medical image aided diagnosis and semi-supervised sample generation system
Cheng Guohua,Xu Pan,He Linyang,Xie Weiyi,Ji Hongli +4 more
- 09 Jan 2018
TL;DR: In this paper, a medical image aided diagnosis and semi-supervised sample generation system comprises a hospital image filing and communication module (a), a pulmonary nodule-based automatic detection module (b), a deep learning-based semantic annotation generation module (c), and a sample library module (d).
18
Patent
Retina fovea centralis detection method based on multi-feature model
Xiangqian Wu,Wei Bu,Baisheng Dai +2 more
- 26 Apr 2017
TL;DR: Wang et al. as mentioned in this paper proposed a retina fovea centralis detection method based on a multi-feature model, which can effectively overcome the influence of fundus illumination noise, fundus lesions and abnormal blood vessel distribution.
7
Patent
Processing method for convolutional neural network, processing device for convolutional neural network and electronic apparatuses
Li Quanquan,Yan Junjie +1 more
- 29 Jun 2018
TL;DR: In this paper, the authors provide a processing method for a convolutional neural network, a processing device for a CNN, and electronic apparatuses, which can be applied to resource-limited equipment to realize the same function.
5
Patent
Target tracking and network training methods and devices, electronic equipment and storage mediums
Ren Sijie,Xiaohao Chen,Jianbo Liu,Zhiyang Yu,Wenxiu Sun,Qiong Yan,Rui Zhang,Dai Yurong +7 more
- 29 Jun 2018
TL;DR: In this paper, the authors proposed a target tracking method based on target prediction on a video image on the basis of a neural network to obtain a plurality of target prediction regions in the video image.
3