Essays about: "Objektdetektering"
Showing result 16 - 20 of 79 essays containing the word Objektdetektering.
-
16. Semi-Supervised Plant Leaf Detection and Stress Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One of the main limitations of training deep learning-based object detection models is the availability of large amounts of data annotations. When annotations are scarce, semi-supervised learning provides frameworks to improve object detection performance by utilising unlabelled data. READ MORE
-
17. CenterPoint-based 3D Object Detection in ONCE Dataset
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D object detection performance in autonomous driving scenarios recently. READ MORE
-
18. Layout Analysis on modern Newspapers using the Object Detection model Faster R-CNN
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As society is becoming more and more digitized the amount of digital data is increasing rapidly. Newspapers are one example of this, that many Libraries around the world are storing as digital images. READ MORE
-
19. Efficient and robust reduction of bounding boxes of a multi-class neural network’s output for vehicular radar-systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Object detection has been a fundamental part of many emerging technologies, such as autonomous vehicles, robotics, and security. As deep learning is the main reason behind the leap of performance in object detection, it has mostly been associated with a post-processing step of non-maximum suppression (NMS) to reduce the number of resulting bounding boxes output from the network to, ideally, one box per object. READ MORE
-
20. Kalman filters as an enhancement to object tracking using YOLOv7
University essay from KTH/Matematik (Avd.)Abstract : In this paper we study continuous tracking of airplanes using object detection models, namely YOLOv7, combined with a Kalman filter. The tracking should be able to be done in real-time. The idea of combining Kalman filters with an object detection model comes from the lack of time-dependent context in models such as YOLOv7. READ MORE