Essays about: "generativt nätverk"
Showing result 1 - 5 of 19 essays containing the words generativt nätverk.
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1. Accuracy and Robustness of State of the Art Deepfake Detection Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the evolution of artificial intelligence a lot of people have started getting worried about the potential dangers of deepfake images and videos, such as spreading fake videos of influential people. Several solutions to this problem have been proposed with some of the most efficient being convolutional neural networks for face detection in order to differentiate real images from deepfake images generated with a generative adversarial network. READ MORE
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2. Domain Adaptation Of Front View Synthetic Point Clouds Using GANs For Autonomous Driving
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : The perception of the environment is one of the main enablers of Autonomous Driving and is driven by Cameras, RADAR, and LiDAR sensors. Deep Learning algorithms used in perception need a vast amount of labeled, high-quality data which is costly to obtain for LiDAR sensors. READ MORE
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3. Prediction of Persistence to Treatment for Patients with Rheumatoid Arthritis using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Rheumatoid Arthritis is an inflammatory joint disease that is one of the most common autoimmune diseases in the world. The treatment usually starts with a first-line treatment called Methotrexate, but it is often insufficient. One of the most common second-line treatments is Tumor Necrosis Factor inhibitors (TNFi). READ MORE
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4. VTG-Fusion : A GAN-ViT-Based Infrared and Visible ImageFusion Method
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Infrared and visible image fusion targets generating one image with texture details from visible images and highlighted objects from the infrared images. It has been widely used in object recognition and object detection. READ MORE
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5. Limitations of cGAN in functional area division for interior design
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A process that historically has been hard to automate is interior design, mainly due to its subjective nature and lack of obvious guidelines. Scientifically, there is interest to examine if subjective processes can be automated using black box algorithms such as neural networks, as well as corporate interest in this subject to increase efficiency and create systems for automated floor plan design. READ MORE