Sökning: "fine-grained classification problem"
Hittade 2 uppsatser innehållade orden fine-grained classification problem.
1. An Investigation of Low-Rank Decomposition for Increasing Inference Speed in Deep Neural Networks With Limited Training DataUppsats för yrkesexamina på avancerad nivå, KTH/Skolan för elektroteknik och datavetenskap (EECS)
Sammanfattning : In this study, to increase inference speed of convolutional neural networks, the optimization technique low-rank tensor decomposition has been implemented and applied to AlexNet which had been trained to classify dog breeds. Due to a small training set, transfer learning was used in order to be able to classify dog breeds. LÄS MER
2. Deep Convolutional Neural Network for Effective Image Analysis : DESIGN AND IMPLEMENTATION OF A DEEP PIXEL-WISE SEGMENTATION ARCHITECTUREMaster-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)
Sammanfattning : This master thesis presents the process of designing and implementing a CNN-based architecture for image recognition included in a larger project in the field of fashion recommendation with deep learning. Concretely, the presented network aims to perform localization and segmentation tasks. LÄS MER