6 documents found, page 1 of 1
Footwear segmentation and recommendation supported by deep learning: an explora...
Oliveira, João F.; Gomes, Rui; Gonzalez, Dibet; Sousa, Nuno; Shahrabadi, Somayeh; Guevara, Miguel; Ferreira, Maria Jose; Alves, Pedro; Peres, EmanuelThe management of an online footwear retail store-Also known as marketplace-usually involves activities that directly or indirectly end up to interface with customers, wherein communication efficiency and effectiveness is crucially relevant. Critical factors concerning entities developing remote business in these areas or similar include: (i) production of appealing catalogues and (ii) digital tools to shorten ...
Benchmarking deep learning models and hyperparameters for bridge defects classi...
Shahrabadi, Somayeh; Gonzalez, Dibet; Sousa, Nuno; Adão, Telmo; Peres, Emanuel; Magalhães, Luís Gonzaga MendesDeep learning (DL) is becoming increasingly popular in numerous application fields within the current Fourth Industrial Revolution (4IR) era. This is mainly due to its capability for providing accurate predictions and reliable consistency in decision-making. Bridge engineering focused on structure monitoring and inspection is a crucial activity for disaster prevention. Therefore, it is an application field wher...
Defect detection in the textile industry using image-based machine learning met...
Shahrabadi, Somayeh; Castilla, Yusbel; Guevara, Miguel; Magalhães, Luís Gonzaga Mendes; Gonzalez, Dibet; Adão, TelmoTraditionally, computer vision solutions for detecting elements of interest (e.g., defects) are based on strict context-sensitive implementations to address contained problems with a set of well-defined conditions. On the other hand, several machine learning approaches have proven their generalization capacity, not only to improve classification continuously, but also to learn from new examples, based on a fund...
Using deep learning to detect the presence/absence of defects on leather: On th...
Adão, Telmo; Gonzalez, Dibet; Castilla, Yusbel Chavez; Pérez, José; Shahrabadi, Somayeh; Sousa, Nuno; Guevara, Miguel; Magalhães, Luís Gonzaga MendesIn textile/leather manufacturing environments, as in many other industrial contexts, quality inspection is an essential activity that is commonly performed by human operators. Error, fatigue, ergonomic issues, and related costs associated to this fashion of carrying out fabric validation are aspects concerning companies' strategists, whose mission includes to watch over the physical integrity of their employees...
Real-time 3D object detection and SLAM fusion in a low-cost LiDAR test vehicle ...
Fernandes, Duarte; Afonso, Tiago; Girão, Pedro; Gonzalez, Dibet; Silva, António José Linhares; Névoa, Rafael; Novais, Paulo; Monteiro, João L.Recently released research about deep learning applications related to perception for autonomous driving focuses heavily on the usage of LiDAR point cloud data as input for the neural networks, highlighting the importance of LiDAR technology in the field of Autonomous Driving (AD). In this sense, a great percentage of the vehicle platforms used to create the datasets released for the development of these neural...
Point-cloud based 3D object detection and classification methods for self-drivi...
Fernandes, Duarte; Silva, Antonio; Nevoa, Rafael; Simoes, Claudia; Gonzalez, Dibet; Guevara, Miguel; Novais, Paulo; Monteiro, João L.; Melo-Pinto, PedroAutonomous vehicles are becoming central for the future of mobility, supported by advances in deep learning techniques. The performance of aself-driving system is highly dependent on the quality of the perception task. Developments in sensor technologies have led to an increased availability of 3D scanners such as LiDAR, allowing for a more accurate representation of the vehicle's surroundings, leading to safer...