Essays about: "object detection"
Showing result 1 - 5 of 491 essays containing the words object detection.
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1. A Rule-based approach for detection of spatial object relations in images
University essay from Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)Abstract : Deep learning and Computer vision are becoming a part of everyday objects and machines. Involvement of artificial intelligence in human’s daily life open doors to new opportunities and research. READ MORE
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2. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. READ MORE
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3. Speech activity detection in videos
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Speech is an important way of communication all over the world. The speech information is encoded both aural and visual. More than 1.5 billion people have hearing loss and for those the visual information is even more important than for people with normal hearing. READ MORE
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4. Semi-Supervised Plant Leaf Detection and Stress Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One of the main limitations of training deep learning-based object detection models is the availability of large amounts of data annotations. When annotations are scarce, semi-supervised learning provides frameworks to improve object detection performance by utilising unlabelled data. READ MORE
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5. 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
