Essays about: "document object detection"
Showing result 1 - 5 of 8 essays containing the words document object detection.
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1. 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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2. Layout Analysis on modern Newspapers using the Object Detection model Faster R-CNN
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As society is becoming more and more digitized the amount of digital data is increasing rapidly. Newspapers are one example of this, that many Libraries around the world are storing as digital images. READ MORE
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3. Self-Learning Methodology for Failure Detection in an Oil- Hydraulic Press : Predictive maintenance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning methods have dramatically improved the state-of-the-art across multiple fields, such as speech recognition, object detection, among others. Nevertheless, its application on signal processing, where data is frequently unlabelled, has received relatively little attention. READ MORE
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4. OBJECT DETECTION: MODEL COMPARISON ON AUTOMATED DOCUMENT CONTENT INTERPRETATION - A performance evaluation of common object detection models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Manually supervising a million documents yearly becomes an exhaustive task. A step towards automating this process is to interpret and classify the contents of a document. READ MORE
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5. Understanding Structured Documents with a Strong Layout
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : This work will focus on named entity recognition on documents with a strong layout using deep recurrent neural networks. Examples of such documents are receipts, invoices, forms and scientific papers, the latter of which will be used in this research. The problem of NER on structured documents is modeled in different ways. READ MORE