Essays about: "Semisupervised learning"
Showing result 1 - 5 of 10 essays containing the words Semisupervised learning.
-
1. Meta-Pseudo Labelled Multi-View 3D Shape Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. READ MORE
-
2. Semi-Supervised Head Detection for Low Resolution Images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Object detection is a widely researched and applied field in computer vision. Deep learning models have successfully been used for object detection over the years. The performance of State of the art (SOTA) object detection deep learning models is dependent on the number of labeled images. READ MORE
-
3. Network Graph AnalysisCategorizing Private Individuals and Private Firms in a Bank
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This study deals with classifying private individuals and private firmsthrough transaction data of a financial institution. Private firm(Enskild Firma) in Sweden is difficult to distinguish from privateindividual through transactions as it is owned by a sole trader who hasa small business. READ MORE
-
4. Matching Sticky Notes Using Latent Representations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : his project addresses the issue of accurately identifying repeated images of sticky notes. Due to environmental conditions and the 3D location of the camera, different pictures taken of sticky notes may look distinct enough to be hard to determine if they belong to the same note. READ MORE
-
5. Deep Active Learning for Image Classification using Different Sampling Strategies
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Convolutional Neural Networks (CNNs) have been proved to deliver great results in the area of computer vision, however, one fundamental bottleneck with CNNs is the fact that it is heavily dependant on the ground truth, that is, labeled training data. A labeled dataset is a group of samples that have been tagged with one or more labels. READ MORE