Essays about: "You only look once YOLO"
Showing result 21 - 25 of 26 essays containing the words You only look once YOLO.
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21. Advanced Data Augmentation : With Generative Adversarial Networks and Computer-Aided Design
University essay from Linköpings universitet/DatorseendeAbstract : CNN-based (Convolutional Neural Network) visual object detectors often reach human level of accuracy but need to be trained with large amounts of manually annotated data. Collecting and annotating this data can frequently be time-consuming and financially expensive. READ MORE
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22. SEG-YOLO: Real-Time Instance Segmentation Using YOLOv3 and Fully Convolutional Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computer vision technology has been widely applied to augment sports TV broadcast experience. Some of these broadcasts require accurate fore- ground segmentation on the outdoor sports scene, i.e., segmentation of po- tential sports players and highlight them. READ MORE
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23. Optical Inspection for Soldering Fault Detection in a PCB Assembly using Convolutional Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Convolutional Neural Network (CNN) has been established as a powerful toolto automate various computer vision tasks without requiring any aprioriknowledge. Printed Circuit Board (PCB) manufacturers want to improve theirproduct quality by employing vision based automatic optical inspection (AOI)systems at PCB assembly manufacturing. READ MORE
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24. Object Detection in Domain Specific Stereo-Analysed Satellite Images
University essay from Linköpings universitet/DatorseendeAbstract : Given satellite images with accompanying pixel classifications and elevation data, we propose different solutions to object detection. The first method uses hierarchical clustering for segmentation and then employs different methods of classification. READ MORE
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25. 3D YOLO: End-to-End 3D Object Detection Using Point Clouds
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : For safe and reliable driving, it is essential that an autonomous vehicle can accurately perceive the surrounding environment. Modern sensor technologies used for perception, such as LiDAR and RADAR, deliver a large set of 3D measurement points known as a point cloud. READ MORE