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Found 4 essays matching the above criteria.
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1. Human pose estimation in low-resolution images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project explores the understudied, yet important, case of human pose estimation in low-resolution images. This is done in the use-case of images with football players of known scale in the image. Human pose estimation can mainly be done in two different ways, the bottom-up method and the top-down method. READ MORE
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2. Real-Time Video Super-Resolution : A Comparative Study of Interpolation and Deep Learning Approaches to Upsampling Real-Time Video
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Super-resolution is a subfield of computer vision centered around upsampling low-resolution images to a corresponding high-resolution counterpart. This degree project investigates the suitability of a deep learning method for real-time video super-resolution. READ MORE
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3. Compression of Generative Networks for Single Image Super-Resolution
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this research project we have compressed the model size of a generative neural network trained to upscale low resolution images. After first training a large network for this task, we used knowledge distillation to train smaller networks to approximate its output. READ MORE
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4. Image enhancement of license plates in images using Super Resolution
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolanAbstract : Bildgruppen på enheten för dokument och informationsteknik hos SKL har ett behov av att kunna förbättra bilder med extremt låg upplösning. Detta bildmaterial kan komma från diverse övervakningskameror där det intressanta objektet endast utgör en väldigt liten del, i detta fall registreringsskyltar på förbipasserande bilar. READ MORE