Essays about: "Self Supervision"
Showing result 16 - 20 of 32 essays containing the words Self Supervision.
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16. Scoring functions evaluation for active learning in humanoid robotics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Object detection is an essential ability for humanoid robots. State-of-the art deep learning models for object detection reached remarkable results on general-purpose datasets. However, these methods are typically based on the supervised learning framework, requiring large amounts of data and long computational time to be trained. READ MORE
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17. Optimal driving decision based on energy and time costs
University essay from KTH/Optimeringslära och systemteoriAbstract : Nowadays the industrial world has a common goal to build environment-friendly transportation and power-train systems. The first step for this aim is electrification of vehicles on the road which has remarkable influence on energy dependency and greenhouse gas emissions. READ MORE
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18. Unsupervised Learning of Visual Features for Fashion Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning has changed the way computer vision tasks are being solved in the current age. Deep Learning approaches have achieved state-of-the-art results in computer vision problems like image classification, image verification, object detection, and image segmentation. READ MORE
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19. Investigating the Potential of Using SOM on Audit Changed Trades
University essay from KTH/Teknisk informationsvetenskapAbstract : During the last 20 years, operational risk has been identified as an considerablerisk that needs to be tracked and handled, particular in the financial industry.The Basel Committee on banking supervision is a global cooperation thatsets standard regulations for banking corporations. READ MORE
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20. Unsupervised Representation Learning with Clustering in Deep Convolutional Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master thesis tackles the problem of unsupervised learning of visual representations with deep Convolutional Neural Networks (CNN). This is one of the main actual challenges in image recognition to close the gap between unsupervised and supervised representation learning. READ MORE
