Essays about: "Self-supervised Pre-training"
Showing result 1 - 5 of 12 essays containing the words Self-supervised Pre-training.
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1. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. READ MORE
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2. Self-supervised representation learning from electrocardiogram data for medical applications
University essay from Lunds universitet/Matematik LTHAbstract : Cardiovascular diseases are the leading cause of death worldwide, increasing yearly. However, many abnormalities in heart cycles can be discovered and treated years before the onset of diseases. But in most societies, regular health checkups are a concept reserved for cars, not humans. READ MORE
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3. Self-supervised pre-training of an attention-based model for 3D medical image segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. READ MORE
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4. Self-Supervised Transformer Networks for Error Classification of Tightening Traces
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Transformers have shown remarkable results in the domains of Natural Language Processing and Computer Vision. This naturally raises the question whether the success could be replicated in other domains. READ MORE
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5. Teaching an AI to recycle by looking at scrap metal : Semantic segmentation through self-supervised learning with transformers
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Stena Recycling is one of the leading recycling companies in Sweden and at their facility in Halmstad, 300 tonnes of refuse are handled every day where aluminium is one of the most valuable materials they sort. Today, most of the sorting process is done automatically, but there are still parts of the refuse that are not correctly sorted. READ MORE
