Essays about: "DeepLearning"
Showing result 11 - 15 of 21 essays containing the word DeepLearning.
-
11. Object detection for autonomous trash and litter collection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Trashandlitter discarded on the street is a large environmental issue in Sweden and across the globe. In Swedish cities alone it is estimated that 1.8 billion articles of trash are thrown to the street each year, constituting around 3 kilotons of waste. One avenue to combat this societal and environmental problem is to use robotics and AI. READ MORE
-
12. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE
-
13. Aspect Mining of COVID-19 Outbreak with SVM and NaiveBayes Techniques
University essay fromAbstract : The outbreak of COVID-19 is one of the major pandemics faced by the world ever and the World Health Organization (WHO) had declared it as the deadliest virus outbreak in recent times. Due to its incubation period, predicting or identifying the paints had become a tough job and thus, the impact is on a large scale. READ MORE
-
14. Real Time Gym Activity Detection using Monocular RGB Camera
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Action detection is an attractive area for researchers in computer vision, healthcare, physiotherapy, psychology, and others. Intensive work has been done in this area due to its wide range of applications such as security surveillance, video tagging, Human-Computer Interaction (HCI), robotics, medical diagnosis, sports analysis, interactive gaming, and many others. READ MORE
-
15. Few-Shot Learning with Deep Neural Networks for Visual Quality Control: Evaluations on a Production Line
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Having a well representative and adequate amount of data samples plays an important role in the success of deep learning algorithms used for image recognition. On the other hand, collecting and manually labeling a large-scale dataset requires a great deal of human interaction which in turn is very timeconsuming. READ MORE
