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Using the initial detections obtained by these models and super-resolution, an optimized re-inference is performed, allowing the detection of elements not identified a priori and improving the quality of the rest of the detections. The direct application of super-resolution is limited because instance segmentation models process images according to a fixed dimension. Therefore, in cases where the super-resolved images exceed this fixed size, the model will rescale them again, thus losing the desired effect. The advantages of this meta-method lie mainly in the fact that it is not required to modify the model architecture or re-train it. Regardless of the size of the images given as input, super-resolved areas that fit the defined dimension of the object segmentation model will be generated. After applying our proposal, experiments show an improvement of up to 8.1% for the YOLACT++ model used in the Jena sequence of the CityScapes dataset.<\/jats:p>","DOI":"10.3233\/ica-230700","type":"journal-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T11:30:28Z","timestamp":1676979028000},"page":"243-256","source":"Crossref","is-referenced-by-count":27,"title":["Optimized instance segmentation by super-resolution and maximal clique generation"],"prefix":"10.1177","volume":"30","author":[{"given":"Iv\u00e1n","family":"Garc\u00eda-Aguilar","sequence":"first","affiliation":[{"name":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"},{"name":"Biomedic Research Institute of M\u00e1laga (IBIMA), M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge","family":"Garc\u00eda-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"},{"name":"Biomedic Research Institute of M\u00e1laga (IBIMA), M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael M.","family":"Luque-Baena","sequence":"additional","affiliation":[{"name":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"},{"name":"Biomedic Research Institute of M\u00e1laga (IBIMA), M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ezequiel","family":"L\u00f3pez-Rubio","sequence":"additional","affiliation":[{"name":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"},{"name":"Biomedic Research Institute of M\u00e1laga (IBIMA), M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enrique","family":"Dom\u00ednguez","sequence":"additional","affiliation":[{"name":"Department of Computer Languages and Computer Science, University of M\u00e1laga, M\u00e1laga, Spain"},{"name":"Biomedic Research Institute of M\u00e1laga (IBIMA), M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/ICA-230700_ref1","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.cmpb.2018.04.012","article-title":"Automated EEG-based screening of depression using deep convolutional neural network","volume":"161","author":"Acharya","year":"2018","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"10.3233\/ICA-230700_ref2","doi-asserted-by":"crossref","first-page":"602","DOI":"10.1159\/000512985","article-title":"Detection of Epileptic Seizure Using Pretrained Deep Convolutional Neural Network and Transfer Learning","volume":"83","author":"Nogay","year":"2020","journal-title":"European Neurology"},{"issue":"1","key":"10.3233\/ICA-230700_ref3","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1515\/revneuro-2018-0050","article-title":"Segmentation and clustering in brain MRI imaging","volume":"30","author":"Mirzaei","year":"2018","journal-title":"Reviews in the Neurosciences"},{"key":"10.3233\/ICA-230700_ref4","doi-asserted-by":"crossref","first-page":"51","DOI":"10.3233\/ICA-200629","article-title":"A convolution-based distance measure for fuzzy singletons and its application in a pattern recognition problem","volume":"28","author":"Naranjo","year":"2020","journal-title":"Integrated Computer-Aided Engineering"},{"key":"10.3233\/ICA-230700_ref5","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1111\/mice.12695","article-title":"3D convolutional neural network-based one-stage model for real-time action detection in video of construction equipment","volume":"37","author":"Jung","year":"2022","journal-title":"Computer-Aided Civil and Infrastructure Engineering"},{"key":"10.3233\/ICA-230700_ref6","doi-asserted-by":"crossref","unstructured":"Garc\u00eda-Gonz\u00e1lez J, Garc\u00eda-Aguilar I, Medina D, Luque-Baena RM, L\u00f3pez-Rubio E, Dom\u00ednguez E. 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