Sökning: "Fake image detection"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Fake image detection.
1. AI-based image generation: The impact of fine-tuning on fake image detection
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER
2. Particle Detection in Bone Marrow Using CNNs and Transformer Networks
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The critical role of hematological stem cells, concentrated in bone marrow, in disease diagnosis makes the detection of these cells an imperative task. The current process, however, is slow and heavily reliant on expert interpretation, underscoring the need for automation. LÄS MER
3. Counterfeit product grouping - a cluster ensemble approach
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. LÄS MER
4. Cooperative edge deepfake detection
Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatikSammanfattning : Deepfakes are an emerging problem in social media and for celebrities and political profiles, it can be devastating to their reputation if the technology ends up in the wrong hands. Creating deepfakes is becoming increasingly easy. LÄS MER
5. Data Augmentation for Safe 3D Object Detection for Autonomous Volvo Construction Vehicles
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Point cloud data can express the 3D features of objects, and is an important data type in the field of 3D object detection. Since point cloud data is more difficult to collect than image data and the scale of existing datasets is smaller, point cloud data augmentation is introduced to allow more features to be discovered on existing data. LÄS MER