Results 21 to 30 of about 9,928 (78)
Classification of Time-Series Images Using Deep Convolutional Neural Networks
Référence du journal arXiv - Computer Vision and Pattern Recognition : arXiv:1710.00886v2 [cs.CV]International audienceConvolutional Neural Networks (CNN) has achieved a great success in image recognition task by automatically learning a hierarchical ...
Yann Gavet +5 more
core +1 more source
Procesamiento de imágenes para la detección de un impacto láser en simuladores de tiro [PDF]
Simulation systems play a crucial role in firearms training by offering advantages such as the progressive improvement of shooting skills, reduced logistical costs, ammunition savings, and decreased need for personnel deployment to shooting ranges.
Guzmán Pérez, Daniel +5 more
core +2 more sources
A scoping review on multimodal deep learning in biomedical images and texts. [PDF]
Sun Z +6 more
europepmc +1 more source
Human behavior in image-based Road Health Inspection Systems despite the emerging AutoML. [PDF]
Siriborvornratanakul T.
europepmc +1 more source
Computer vision and image processing are rapidly evolving fields with broad applications across numerous domains, including healthcare, autonomous driving, surveillance, and entertainment.
Wen Gendy, D. Patel
semanticscholar +1 more source
Prostate histopathology image classification and retrieval using weakly-supervised multimodal fusion and representation learning [PDF]
This thesis presents an information fusion strategy for the automatic classification and retrieval of prostate histopathology whole-slide images (WSIs) that incorporates novel machine learning components from deep learning and kernel methods.
Lara Ramírez, Juan Sebastián
core
This dataset contains 7 converted Dermoscopy datasets, part of the OmniMedSeg superset. All datasets are converted to a standardized structure with binary masks for each segmentation target. ===============================================================
Marinov, Zdravko
core +1 more source
Queue time estimator based on image recognition
Tato práce řeší všeobecný problém čekání ve frontě. Cílem práce je navrhnout systém, který na základě obrazové informace z videozáznamu fronty odhadne čekací dobu zákazníka.
Chumlen, Matěj
core +1 more source
This dataset contains 24 converted MRI datasets, part of the OmniMedSeg superset. All datasets are converted to a standardized structure with binary masks for each segmentation target. =====================================================================
Marinov, Zdravko
core +1 more source
ROS2 pipeline for open-vocabulary object detection and 3D reconstruction on Jetson Orin Nano
This paper introduces a ROS2 software pipeline, designed for the Jetson Orin Nano, that performs open-vocabulary object detection and subsequent 3D reconstruction from RGB images.
Oliveros Barbosa, Sergio Andrés
core +1 more source

