390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ManchesterGB9 papers
- Queen Mary University of LondonGB5 papers
- Universidade Estadual de Campinas (UNICAMP)BR5 papers
- Universidad Estatal Península de Santa ElenaEC5 papers
- University of RegensburgDE5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Henry Royce InstituteGB4 papers
- Imperial College LondonGB4 papers
- Instituto Venezolano de Investigaciones CientíficasVE4 papers
- Laboratoire de Physique et Chimie ThéoriquesFR4 papers
- Monash UniversityAU4 papers
- Secretaría de Ciencia, Humanidades, Tecnología e InnovaciónMX4 papers
8 papers · 1 filter
Multi-encoder ConvNeXt Network with Smooth Attentional Feature Fusion for Multispectral Semantic Segmentation
Leo Thomas Ramos, Angel D. Sappa
This work proposes MeCSAFNet, a multi-branch encoder-decoder architecture for land cover segmentation in multispectral imagery. The model separately processes visible and non-visib…
Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets
Luis Chuquimarca, Boris Vintimilla, Sergio Velastin
The level of ripeness is essential in determining the quality of bananas. To correctly estimate banana maturity, the metrics of international marketing standards need to be conside…
Fruit Deformity Classification through Single-Input and Multi-Input Architectures based on CNN Models using Real and Synthetic Images
Tommy D. Beltran, Raul J. Villao, Luis E. Chuquimarca +2
The present study focuses on detecting the degree of deformity in fruits such as apples, mangoes, and strawberries during the process of inspecting their external quality, employin…
Enhancing Apple's Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging
Omar Coello, Moisés Coronel, Darío Carpio +2
This study addresses the classification of defects in apples as a crucial measure to mitigate economic losses and optimize the food supply chain. An innovative approach is employed…
Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Models
Luis Chuquimarca, Boris Vintimilla, Sergio Velastin
This study presents an investigation into the utilization of a Multi-Input architecture for the classification of fruits (apples and mangoes) into healthy and defective states, emp…
Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis
Marco Aurélio Granero, Cristhian Xavier Hernández, Marcos Eduardo Valle
The field of neural networks has seen significant advances in recent years with the development of deep and convolutional neural networks. Although many of the current works addres…
Dense Extreme Inception Network for Edge Detection
Xavier Soria, Angel Sappa, Patricio Humanante +1
<<<This is a pre-acceptance version, please, go through Pattern Recognition Journal on Sciencedirect to read the final version>>>. Edge detection is the basis of many computer visi…
A fast multi-object tracking system using an object detector ensemble
Richard Cobos, Jefferson Hernandez, Andres G. Abad
Multiple-Object Tracking (MOT) is of crucial importance for applications such as retail video analytics and video surveillance. Object detectors are often the computational bottlen…