Listar por tema "Object recognition"
Mostrando ítems 1-13 de 13
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Assessing image analysis filters as augmented input to convolutional neural networks for image classification
(2018)Convolutional Neural Networks (CNNs) have been proven very effective in image classification and object recognition tasks, often exceeding the performance of traditional image analysis techniques. However, training a CNN ... -
Attention-Enhanced Sensorimotor Object Recognition
(2018)Sensorimotor learning, namely the process of understanding the physical world by combining visual and motor information, has been recently investigated, achieving promising results for the task of 2D/3D object recognition. ... -
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 ... -
Crocus sativus L. extracts antagonize memory impairments in different behavioural tasks in the rat
(2006)The effects of extracts of Crocus sativus L. (CSE), on memory were investigated in the rat by using the object recognition and the step-through passive avoidance task. In the first study, post-training administration of ... -
Deep affordance-grounded sensorimotor object recognition
(2017)It is well-established by cognitive neuroscience that human perception of objects constitutes a complex process, where object appearance information is combined with evidence about the so-called object “affordances”, namely ... -
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 ... -
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 ... -
Deep sensorimotor learning for RGB-D object recognition
(2020)Research findings in cognitive neuroscience establish that humans, early on, develop their understanding of real-world objects by observing others interact with them or by performing active exploration and physical ... -
Effects of the nitric oxide synthase inhibitor L-NAME on different memory components as assessed in the object recognition task in the rat
(2010)Nitric oxide (NO) is sought to be an intracellular messenger in the central nervous system and its implication in learning and memory is well documented. Compounds that inhibit nitric oxide synthase (NOS), the key synthesizing ... -
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 ... -
Pre-training administration of anesthetic ketamine differentially affects rats' spatial and non-spatial recognition memory
(2009)There is poor experimental evidence concerning the effects of anesthetic doses of the non-competitive NMDA receptor antagonist ketamine on rodents' memory abilities. The present study was designed to investigate a) the ... -
The role of nitric oxide in the object recognition memory
(2015)The novel object recognition task (NORT) assesses recognition memory in animals. It is a non-rewarded paradigm that it is based on spontaneous exploratory behavior in rodents. This procedure is widely used for testing the ... -
Uncertainty-aware visual perception system for outdoor navigation of the visually challenged
(2020)Every day, visually challenged people (VCP) face mobility restrictions and accessibility limitations. A short walk to a nearby destination, which for other individuals is taken for granted, becomes a challenge. To tackle ...