Essays about: "Mask RCNN"
Found 5 essays containing the words Mask RCNN.
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1. A Novel Approach for Rice Plant Disease Detection, classification and localization using Deep Learning Techniques
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. This Thesis addresses the critical issue of disease management in ricecrops, a key factor in ensuring both food security and the livelihoods of farmers. Objectives. READ MORE
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2. Instance Segmentation on depth images using Swin Transformer for improved accuracy on indoor images
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : The Simultaneous Localisation And Mapping (SLAM) problem is an open fundamental problem in autonomous mobile robotics. One of the latest most researched techniques used to enhance the SLAM methods is instance segmentation. READ MORE
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3. Comparison Of Object Detection Models - to detect recycle logos on tetra packs
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Manufacturing and production of daily used products using recyclable materials took a steep incline over the past few years. The recyclable packages that are being considered for this thesis are Tetra Packs. Tetra packs are widely used for packaging liquid foods. READ MORE
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4. Evaluation of Instance Segmentation Methods in the Context of Construction Waste
University essay from Lunds universitet/Matematik LTHAbstract : With the progress made within the field of computer vision the last few years, it is starting to become possible to perform instance segmentation in real time with relatively cheap hardware. This paper's main purpose is to investigate different methods of instance segmentation in the specific case of segmenting construction waste with only a single class. READ MORE
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5. Evaluation of Methods for Person Re-identification between Non-overlapping Surveillance Cameras
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis describes a comparison of several state-of-the-art methods used for re-identification of a person between several non-overlapping views captured by surveillance cameras. Since 2014, the focus of the area of person re-identification has been heavily oriented towards approaches employing the use of neural network due to the increase in performance shown from this approach. READ MORE