Essays about: "Super-resolution"

Showing result 1 - 5 of 26 essays containing the word Super-resolution.

  1. 1. Ensembles of Single Image Super-Resolution Generative Adversarial Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Victor Castillo Araújo; [2021]
    Keywords : Generative Adversarial Networks; Single Image Super-Resolution; Computer Vision; Convolutional Neural Networks; Ensemble Learning; Generative Adversarial Networks; Superupplösning; Datorseende; Bildanalys; Convolutional neural networks; Ensembler;

    Abstract : Generative Adversarial Networks have been used to obtain state-of-the-art results for low-level computer vision tasks like single image super-resolution, however, they are notoriously difficult to train due to the instability related to the competing minimax framework. Additionally, traditional ensembling mechanisms cannot be effectively applied with these types of networks due to the resources they require at inference time and the complexity of their architectures. READ MORE

  2. 2. Nanoscale detection of insulin granule sub-structures using dSTORM imaging

    University essay from Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionen

    Author : Yu Hong; [2020]
    Keywords : islet β-cells; dSTORM imaging; Alexa Fluor 647; Physics and Astronomy;

    Abstract : Diabetes mellitus is a global disease, mainly caused by insufficient insulin secre- tion from pancreatic islet β-cells. Insulin is stored in the granules of islet β-cells and released in response to extracellular stimuli e.g. glucose. READ MORE

  3. 3. Deep Learning based Video Super- Resolution in Computer Generated Graphics

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Vinit Jain; [2020]
    Keywords : Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.; Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.;

    Abstract : Super-Resolution is a widely studied problem in the field of computer vision, where the purpose is to increase the resolution of, or super-resolve, image data. In Video Super-Resolution, maintaining temporal coherence for consecutive video frames requires fusing information from multiple frames to super-resolve one frame. READ MORE

  4. 4. Vehicle Detection, at a Distance : Done Efficiently via Fusion of Short- and Long-Range Images

    University essay from Linköpings universitet/Datorseende

    Author : Emil Luusua; [2020]
    Keywords : ;

    Abstract : Object detection is a classical computer vision task, encountered in many practical applications such as robotics and autonomous driving. The latter involves serious consequences of failure and a multitude of challenging demands, including high computational efficiency and detection accuracy. READ MORE

  5. 5. Social Distancing AI: Using super-resolution to train an object detection model on low resolution images

    University essay from Lunds universitet/Matematisk statistik

    Author : Dennis Hein; [2020]
    Keywords : Mathematics and Statistics;

    Abstract : This paper addresses the following hypothetical situation: suppose that we want to train an object detection algorithm but that only low resolution data is available. As a tentative solution to this problem, this paper suggest to first super-resolve the low resolution data to obtain higher resolution data that is then fed to the object detection algorithm. READ MORE