Sökning: "Resnet"
Visar resultat 21 - 25 av 84 uppsatser innehållade ordet Resnet.
21. 3D Gaze Estimation on Near Infrared Images Using Vision Transformers
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Gaze estimation is the process of determining where a person is looking, which has recently become a popular research area due to its broad range of applications. For example, tools that estimate gaze are used for research, medical diagnosis, virtual and augmented reality, driver assistance system, and many more. LÄS MER
22. Predicting Health and Living Standards of India using Deep Learning
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Poverty eradication is an inexorable process in human growth [21], with poverty estimation being the first and most important stage. Identifying strategies for poverty reduction programs and distributing resources appropriately requires determining the poverty levels of distinct places throughout the world. LÄS MER
23. Deep Ring Artifact Reduction in Photon-Counting CT
Master-uppsats, KTH/FysikSammanfattning : Ring artifacts are a common problem with the use of photon-counting detectors and commercial deployment rests on being able to compensate for them. Deep learning has been proposed as a candidate for tackling the inefficiency or high cost of traditional techniques. LÄS MER
24. Machine learning assisted decision support system for image analysis of OCT
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Optical Coherence Tomography (OCT) has been around for more than 30 years and is still being continuously improved. The department of ophthalmology is a part of Sahlgrenska Hospital that heavily uses OCT for helping people with the treatment of eye diseases. LÄS MER
25. Predicting eigenvalues and eigenmodes in non-rectangular rooms with machine learning techniques
Master-uppsats, KTH/Teknisk akustikSammanfattning : Knowing the eigenfrequencies and eigenmodes is of great importance to interior design and a common acoustic engineering problem. Challenges in noise control makes knowing the lower eigenfrequencies particularly important. LÄS MER