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Learning Models for Semantic Classification of Insufficient Plantar Pressure Images
Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...
IMGpedia: A linked dataset with content-based analysis of wikimedia images
(Springer, 2017)
IMGpedia is a large-scale linked dataset that incorporates visual information of the images from the Wikimedia Commons dataset: it brings together descriptors of the visual content of 15 million images, 450 million ...
Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations
Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying ...
Dataset of manually classified images obtained from a construction site
(ElsevierNL, 2022)
A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset ...
Unconstrained Text Detection in Manga: a New Dataset and Baseline [Data set]
(ECCV 2020: Computer Vision, 2021)
"Unconstrained Text Detection in Manga: a New Dataset and Baseline". It contains 450 images with the text segmentation of images from Manga109 dataset (need to request access to this dataset in order to view original manga ...
Evaluation of sar to optical image translation using conditional generative adversarial network for cloud removal in a crop dataset
(2021-06-28)
Most methods developed to map crop fields with high-quality are based on optical image time-series. However, often accuracy of these approaches is deteriorated due to clouds and cloud shadows, which can decrease the availably ...
Identification Model for Large Remote Sensing Datasets Applied to Environmental Analysis within Mexico
(Institute of Electrical and Electronics Engineers, 2017)
Efficient sign language recognition system and dataset creation method based on deep learning and image processing
(2021-01-01)
New deep-learning architectures are created every year, achieving state-of-the-art results in image recognition and leading to the belief that, in a few years, complex tasks such as sign language translation will be ...