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Volume 13; Issue 5
Main
IET Computer Vision
Volume 13; Issue 5
IET Computer Vision
Volume 13; Issue 5
1
Adaptive convolutional neural network for large change in video object segmentation
Yin, Hui
,
Yang, Lin
,
Xu, Hongli
,
Wan, Jin
Journal:
IET Computer Vision
Year:
2019
Language:
english
File:
PDF, 36 KB
Your tags:
english, 2019
2
Detection of severity level of diabetic retinopathy using Bag of features model
Leeza, Mona
,
Farooq, Humera
Journal:
IET Computer Vision
Year:
2019
Language:
english
File:
PDF, 34 KB
Your tags:
english, 2019
3
3D Layout encoding network for spatial-aware 3D saliency modelling
Yuan, Jing
,
Cao, Yang
,
Kang, Yu
,
Song, Weiguo
,
Yin, Zhongcheng
,
Ba, Rui
,
Ma, Qing
Journal:
IET Computer Vision
Year:
2019
File:
PDF, 38 KB
Your tags:
2019
4
New local difference binary image descriptor and algorithm for rapid and precise vehicle visual localisation
Bibars, Ahmed
,
Mahroos, Mohsen
Journal:
IET Computer Vision
Year:
2019
Language:
english
File:
PDF, 3.94 MB
Your tags:
english, 2019
5
Efficient and robust segmentation and tracking of sperm cells in microscopic image sequences
Mostajer Kheirkhah, Fateme
,
Sadegh Mohammadi, Hamid Reza
,
Shahverdi, Abdolhossein
Journal:
IET Computer Vision
Year:
2019
Language:
english
File:
PDF, 5.41 MB
Your tags:
english, 2019
6
Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration
Yousaf, Adeel
,
Hanif, Muhammad Shehzad
,
Khan, Muhammad Jaleed
,
Iqbal, Mahboob
,
Khurshid, Khurram
Journal:
IET Computer Vision
Year:
2019
Language:
english
File:
PDF, 5.35 MB
Your tags:
english, 2019
7
Object detection for panoramic images based on MS-RPN structure in traffic road scenes
Tong, Guofeng
,
Chen, Huairong
,
Li, Yong
,
Du, Xiance
,
Zhang, Qingchun
Journal:
IET Computer Vision
Year:
2019
File:
PDF, 2.66 MB
Your tags:
2019
8
Fully convolutional multi-scale dense networks for monocular depth estimation
Liu, Jiwei
,
Zhang, Yunzhou
,
Cui, Jiahua
,
Feng, Yonghui
,
Pang, Linzhuo
Journal:
IET Computer Vision
Year:
2019
Language:
english
File:
PDF, 693 KB
Your tags:
english, 2019
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