Listar por tema "Object detection"
Mostrando ítems 1-8 de 8
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Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning
(2022)Anterior cruciate ligament (ACL) tears are very common among athletes. The success of enhanced ACL injury therapy hinges on accurate and cost-effective detection. Deep learning-based techniques have recently dominated ACL ... -
A deep learning approach for anthracnose infected trees classification in walnut orchards
(2021)This paper presents a novel approach for the detection of disease-infected leaves on trees with the use of deep learning. Focus of this study was to build an accurate and fast object detection system that can identify ... -
A Deep Learning Approach to Object Affordance Segmentation
(2020)Learning to understand and infer object functionalities is an important step towards robust visual intelligence. Significant research efforts have recently focused on segmenting the object parts that enable specific types ... -
Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients
(2021)Bone scintigraphy is a popular method for the diagnosis of bone metastasis that typically occurs when cancer cells from the primary tumor relocate to the bone. In bone scintigraphy, the whole patient's body is scanned and ... -
ENORASI Assistive Computer Vision-based System for the Visually Impaired: A User Evaluation Study
(2022)Visual impairment affects a significantly large number of individuals and in many cases it may disturb their daily life. This study presents a novel prototype wearable device which aims to assist them in tasks such as ... -
Film Shot Type Classification Based on Camera Movement Styles
(2022)Visual information contains the most important characteri-stics of a movie regarding the related content and filming techniques. Especially the way the camera moves to capture the scene is vital to define the director’s ... -
MonoSOD: Monocular Salient Object Detection based on Predicted Depth
(2021)Salient object detection (SOD) can directly improve the performance of tasks like obstacle detection, semantic segmentation and object recognition. Such tasks are important for robotic and other autonomous navigation ... -
Obstacle detection based on generative adversarial networks and fuzzy sets for computer-assisted navigation
(2019)Obstacle detection addresses the detection of an object, of any kind, that interferes with the canonical trajectory of a subject, such as a human or an autonomous robotic agent. Prompt obstacle detection can become critical ...