Essays about: "Object Classification"

Showing result 16 - 20 of 200 essays containing the words Object Classification.

1. 16. Computer-vision as an ErrorRecognition Tool for IndustryProduction Lines : A comparative study of models and neural networks

   University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

   Author : André Lundholm; [2023]
   Keywords : Computer-vision; Machine Learning; Wood Industry; Neural Network; Convolutional Neural Network; Anomaly Detection; Outlier Detection; Object Detection;

   Abstract : To use machine learning as a tool to help humans perform tasks is a common occurrence these days. Machine learning integration in the wood processing industry however, is more rare. Therefore it is suitable to research if machine learning works for some problem in this area. READ MORE

3. 17. Deep Learning for Building Damage Assessment of the 2023 Turkey Earthquakes : A comparison of two remote sensing methods

   University essay from KTH/Geoinformatik

   Author : Tobias Karlbrg; Jennifer Malmgren; [2023]
   Keywords : Deep learning; U-Net; Earthquake-induced building damage; VHR satellite imagery; Djup maskininlärning; U-Net; Byggnadsskador; Jordbävning; Satellitbilder;

   Abstract : Current disaster response strategies are based on damage assessments carried out on the ground, which can be dangerous following a ä destructive event. Damage assessments can also be performed remotely using satellite imagery, but are usually carried out through visual interpretation, which can take a lot of time. READ MORE

4. 18. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yu Hu; [2023]
   Keywords : Neural networks; point cloud; 3D shape generation; 3D shape manipulation; classification; Neurala nätverk; punktmoln; generering av 3D-former; manipulation av 3Dformer; klassificering;

   Abstract : The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challenging problem is how to build generative models to synthesize diverse and realistic 3D objects representations, while having controllability for manipulating the shape attributes of 3D objects. READ MORE

5. 19. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Anna Phan; Rogelio Medina; [2022]
   Keywords : Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

   Abstract : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. READ MORE

6. 20. Object Detection via Contextual Information

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Lovisa Stålebrink; [2022]
   Keywords : computer vision; machine learning; object detection; deep learning; contextual information; transformers; document object detection; datorseende; maskininlärning; objektdetektion; djupinlärning; kontextuell information; transformer; detektering av dokumentobjekt;

   Abstract : Using computer vision to automatically process and understand images is becoming increasingly popular. One frequently used technique in this area is object detection, where the goal is to both localize and classify objects in images. Today's detection models are accurate, but there is still room for improvement. READ MORE