Essays about: "mask r-cnn"
Showing result 1 - 5 of 29 essays containing the words mask r-cnn.
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1. Instance segmentation using 2.5D data
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation. READ MORE
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2. Towards Large Scale Façade Parsing: A Deep Learning Pipeline Using Mask R-CNN
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This thesis tries to find a methodology that create a working pipeline for building facade parsing, which allows to access large scale panorama imagery from Google Street View (GSV) and implement on deep learning models. We propose a semiautomated pipeline that integrates multiple systems for large-scale building facade parsing. READ MORE
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3. Object Detection via Contextual Information
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Using computer vision to automatically process and understand images is becoming increasingly popular. One frequently used technique in this area is object detection, where the goal is to both localize and classify objects in images. Today's detection models are accurate, but there is still room for improvement. READ MORE
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4. Detection of Pests in Agriculture Using Machine Learning
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Pest inventory of a field is a way of knowing when the thresholds for pest controlis reached. It is of increasing interest to use machine learning to automate thisprocess, however, many challenges arise with detection of small insects both intraps and on plants. READ MORE
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5. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. READ MORE
