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Showing result 1 - 5 of 31 essays matching the above criteria.

1. 1. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

   Author : Serhat Bulun; [2023]
   Keywords : ;

   Abstract : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. READ MORE

3. 2. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

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

   Author : Fehmi Ayberk Uçkun; [2023]
   Keywords : 3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

   Abstract : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. READ MORE

4. 3. Applicability of Detection Transformers in Resource-Constrained Environments : Investigating Detection Transformer Performance Under Computational Limitations and Scarcity of Annotated Data

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

   Author : Altan Senel; [2023]
   Keywords : Deep Learning; Computer Vision; Self-supervised Learning; Object Detection; Scene Graph Generation;

   Abstract : Object detection is a fundamental task in computer vision, with significant applications in various domains. However, the reliance on large-scale annotated data and computational resource demands poses challenges in practical implementation. READ MORE

5. 4. Unsupervised Domain Adaptation for 3D Object Detection Using Adversarial Adaptation : Learning Transferable LiDAR Features for a Delivery Robot

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

   Author : Mattias Hansson; [2023]
   Keywords : Unsupervised Domain Adaptation; 3D Object Detection; Mobile Robotics; Adversarial Adaptation; Computer Vision; Oövervakad Domänanpassning; 3D Objektigenkänning; Mobila Robotar; Motspelaranpassning; Datorseende;

   Abstract : 3D object detection is the task of detecting the full 3D pose of objects relative to an autonomous platform. It is an important perception system that can be used to plan actions according to the behavior of other dynamic objects in an environment. READ MORE

6. 5. A visual approach to web information extraction : Extracting information from e-commerce web pages using object detection

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

   Author : Alexander Brokking; [2023]
   Keywords : Web information extraction; computer vision; object detection; deep learning; Informationsextraktion från webben; datorseende; objektigenkänning; djupinlärning;

   Abstract : Internets enorma omfattning har resulterat i ett överflöd av information som är oorganiserad och spridd över olika hemsidor. Det har varit motivationen för automatisk informationsextraktion av hemsidor sedan internets begynnelse. READ MORE