Results 181 to 190 of about 16,201 (241)
A Bayesian Hierarchical Spatial Longitudinal Model Improves Estimation of Local Macular Rates of Change in Glaucomatous Eyes. [PDF]
Transl Vis Sci TechnolSu E +8 more
europepmc +1 more source
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algorithms for their ability to adhere to image boundaries,
Sabine Süsstrunk +2 more
exaly +4 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Superpixels With Content-Adaptive Criteria
IEEE Transactions on Image Processing, 2021Superpixels are widely used in computer vision applications. Most of the existing superpixel methods use established criteria to indiscriminately process all pixels, resulting in superpixel boundary adherence and regularity being unnecessarily inter ...
Ye Yuan, Wei Zhang, Hai Yu, Zhiliang Zhu
semanticscholar +3 more sources
IEEE Transactions on Instrumentation and Measurement, 2021
Segmentation of the breast ultrasound (BUS) image is an important step for subsequent assessment and diagnosis of breast lesions. Recently, Deep-learning-based methods have achieved satisfactory performance in many computer vision tasks, especially in ...
Qinghua Huang +2 more
exaly +2 more sources
Segmentation of the breast ultrasound (BUS) image is an important step for subsequent assessment and diagnosis of breast lesions. Recently, Deep-learning-based methods have achieved satisfactory performance in many computer vision tasks, especially in ...
Qinghua Huang +2 more
exaly +2 more sources
Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy, 2023
The use of tobacco stems as raw material for cigarettes reduces cost and improves the flammability of cigarettes. However, various impurities, such as plastic, reduce the purity of tobacco stems, degrade the quality of cigarettes, and endanger the health
Zhenye Li +6 more
semanticscholar +1 more source
The use of tobacco stems as raw material for cigarettes reduces cost and improves the flammability of cigarettes. However, various impurities, such as plastic, reduce the purity of tobacco stems, degrade the quality of cigarettes, and endanger the health
Zhenye Li +6 more
semanticscholar +1 more source
Revisiting Superpixels for Active Learning in Semantic Segmentation with Realistic Annotation Costs
Computer Vision and Pattern Recognition, 2021State-of-the-art methods for semantic segmentation are based on deep neural networks that are known to be data-hungry. Region-based active learning has shown to be a promising method for reducing data annotation costs.
Lile Cai +3 more
semanticscholar +1 more source
Unsupervised Ship Detection in SAR Images Using Superpixels and CSPNet
IEEE Geoscience and Remote Sensing Letters, 2023Ship detection in synthetic aperture radar (SAR) images is critical to ocean surveillance and rescue. Although many deep learning SAR ship detection methods have been proposed, the performance of these methods depends on the size and quality of the ...
Liang Zhang +5 more
semanticscholar +1 more source
A Hierarchical Three-Step Superpixels and Deep Learning Framework for Skin Lesion Classification.
Methods, 2021Skin cancer is one of the most common and dangerous cancer that exists worldwide. Malignant melanoma is one of the most dangerous skin cancer types has a high mortality rate. An estimated 196,060 melanoma cases will be diagnosed in 2020 in the USA.
Farhat Afza +4 more
semanticscholar +1 more source