Essays about: "soft detection"

Showing result 16 - 20 of 54 essays containing the words soft detection.

1. 16. Semi-Supervised Training with One-stage Object Detection

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Nancy Xu; [2021]
   Keywords : ;

   Abstract : Training a specialized object detection model requires large amounts of labeled data that may not be easily obtainable. In contrast, large amounts of unlabeled data relevant to the task are often available. In this report a semi-supervised approach that increases the amount of training data by adding soft labels is examined. READ MORE

3. 17. Convolutional neural network based object detection in a fish ladder : Positional and class imbalance problems using YOLOv3

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Patrik Ekman; [2021]
   Keywords : Object detection; Computer vision; Fish ladder; Imbalance problems; Imbalanced data; YOLO; Convolutional Neural Network; Deep learning; Objektdetektering; Datorseende; Fisktrappa; Obalanser; Obalanserad data; YOLO; Convolutional Neural Network; Djupinl¨arning;

   Abstract : Hydropower plants create blockages in fish migration routes. Fish ladders can serve as alternative routes but are complex to install and follow up to help adapt and develop them further. In this study, computer vision tools are considered in this regard. READ MORE

4. 18. Recurrence detection in oropharyngeal cancer –a retrospective cohortstudy

   University essay from Örebro universitet/Institutionen för medicinska vetenskaper

   Author : Mimmi Lind; [2021]
   Keywords : Oropharyngeal cancer; head- and neck cancer; recurrence; surveillance; routine follow-up;

   Abstract : Introduction: Oropharyngeal cancer (OPC) is a highly prevalent malignancy worldwideaffecting the tonsils, the soft palette and the base of the tongue. OPC has a high risk ofrecurrence. Patients are offered a 5-year follow-up program in order to discover earlyrecurrences. READ MORE

5. 19. Does The Perfect Team Composition Exist? : Investigating Diversity in Soft and Hard Skills in Relation to Efficiency;A Quantitative Study Within the Swedish Audit Profession

   University essay from Jönköping University/IHH, Företagsekonomi

   Author : Julia Andersson; Jonna Hasselgren; [2021]
   Keywords : Audit Teams; Brainstorming; Fraud; Risk Assessments; Efficiency; Diversity; Soft Skills; Hard Skills; Organizational Hierarchy;

   Abstract : Background/Problematization: The audit profession and its credibility have been threatenedby audit failures and corporate collapses, and the inability to detect and deter fraud has beenproven costly to audit firms. Regarding the complexity of detection and deterrence of fraud,researchers have suggested the brainstorming session as a fundamental assignment. READ MORE

6. 20. Stronger Together? An Ensemble of CNNs for Deepfakes Detection

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Angelica Gardner; [2020]
   Keywords : deepfakes; deepfakes detection; supervised learning; binary classification; convolutional neural networks; ensemble learning; stacking;

   Abstract : Deepfakes technology is a face swap technique that enables anyone to replace faces in a video, with highly realistic results. Despite its usefulness, if used maliciously, this technique can have a significant impact on society, for instance, through the spreading of fake news or cyberbullying. READ MORE