Results 11 to 20 of about 9,227 (304)

Tracking Based Semi-Automatic Annotation for Scene Text Videos

IEEE Access, 2021
Recently, video scene text detection has received increasing attention due to its comprehensive applications. However, the lack of annotated scene text video datasets has become one of the most important problems, which hinders the development of video ...
Jiajun Zhu, Xiufeng Jiang, Zhiwei Jia, Shugong Xu, Shan Cao   +4 more
doaj   +1 more source

Inspection-Nerf: Rendering Multi-Type Local Images for Dam Surface Inspection Task Using Climbing Robot and Neural Radiance Field

Buildings, 2023
For the surface defects inspection task, operators need to check the defect in local detail images by specifying the location, which only the global 3D model reconstruction can’t satisfy.
Kunlong Hong, Hongguang Wang, Bingbing Yuan   +2 more
doaj   +1 more source

Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs

Remote Sensing, 2022
Tools for robust identification of crop diseases are crucial for timely intervention by farmers to minimize yield losses. Visual diagnosis of crop diseases is time-consuming and laborious, and has become increasingly unsuitable for the needs of modern ...
Jiale Jiang, Haiyan Liu, Chen Zhao, Can He, Jifeng Ma, Tao Cheng, Yan Zhu, Weixing Cao, Xia Yao   +8 more
doaj   +1 more source

K-Submodlar Function Based Incentive Mechanisms for Crowd Multi-Labeling

IEEE Access, 2021
Crowd labeling, as a new paradigm of labeling classification problems, has enabled it to create a tremendous amount of high-quality labeling datasets by harnessing extensive ordinary human comprehension at a low cost. However, existing works mainly focus
Jiajun Sun, Shuning Sun, Qingying Sun, Wei Zhang   +3 more
doaj   +1 more source

Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning

International Journal of Applied Earth Observations and Geoinformation, 2023
Urban scene-level 3D point cloud labeling is a very laborious and expensive task compared to images. Conversely however, image processing techniques, deep learning or otherwise are more established and mature.
Perpetual Hope Akwensi, Zhizhong Kang, Ruisheng Wang   +2 more
doaj   +1 more source

Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain

Remote Sensing, 2022
Currently, under supervised learning, a model pre-trained by a large-scale nature scene dataset and then fine-tuned on a few specific task labeling data is the paradigm that has dominated knowledge transfer learning.
Tong Zhang, Peng Gao, Hao Dong, Yin Zhuang, Guanqun Wang, Wei Zhang, He Chen   +6 more
doaj   +1 more source

Asynchronous Semantic Background Subtraction

Journal of Imaging, 2020
The method of Semantic Background Subtraction (SBS), which combines semantic segmentation and background subtraction, has recently emerged for the task of segmenting moving objects in video sequences.
Anthony Cioppa, Marc Braham, Marc Van Droogenbroeck   +2 more
doaj   +1 more source

ILabel: Interactive Neural Scene Labelling

CoRR, 2021
Joint representation of geometry, colour and semantics using a 3D neural field enables accurate dense labelling from ultra-sparse interactions as a user reconstructs a scene in real-time using a handheld RGB-D sensor. Our iLabel system requires no training data, yet can densely label scenes more accurately than standard methods trained on large ...
Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison   +5 more
openaire   +2 more sources

Variability in the labeling of asthma among pediatricians. [PDF]

PLoS ONE, 2013
OBJECTIVE: Few studies have examined variability among physicians in the perception and interpretation of asthma symptoms. We report the results of a pilot study to investigate the variability of symptom description and diagnostic labeling and ...
David Van Sickle, Sheryl Magzamen, Matthew J Maenner, Julian Crane, Timothy E Corden   +4 more
doaj   +1 more source

Road scene classification based on street-level images and spatial data

Array, 2022
Understanding the context of the scene is one of the most important aspects for new generation of autonomous vehicles. It is a very trivial task for a human to recognize the scene context by only a single look at the picture, however, for a computer, it ...
Roman Prykhodchenko, Paweł Skruch
doaj   +1 more source