Essays about: "convnets"

Showing result 1 - 5 of 6 essays containing the word convnets.

1. 1. CapsNet Comprehension of Objects in Different Rotational Views : A comparative study of capsule and convolutional networks

   University essay from KTH/Programvaruteknik och datorsystem, SCS

   Author : Martin Engelin; [2018]
   Keywords : capsnet; convolutional; network; capsule; neural; clothing; clothes; sellpy; rotation; rotational; views;

   Abstract : Capsule network (CapsNet) is a new and promising approach to computer vision. In the small amount of research published so far, it has shown to be good at generalizing complex objects and perform well even when the images are skewed or the objects are seen from unfamiliar viewpoints. READ MORE

3. 2. Study and Analysis of Convolutional Neural Networks for Pedestrian Detection in Autonomous Vehicles

   University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

   Author : Louise Augustsson; [2018]
   Keywords : ;

   Abstract : The automotive industry is heading towards more automation. This puts high demands on many systems like Pedestrian Detection Systems. Such systems need to operate in real time with high accuracy and in embedded systems with limited power, memory resources and compute power. This in turn puts high demands on model size and model design. READ MORE

4. 3. Compact ConvNets with Ternary Weights and Binary Activations

   University essay from KTH/Robotik, perception och lärande, RPL

   Author : Ondrej Holesovsky; [2017]
   Keywords : convolutional neural networks; compact architectures; weight quantization; activation quantization; dithering activations;

   Abstract : Compact architectures, ternary weights and binary activations are two methods suitable for making neural networks more efficient. We introduce a) a dithering binary activation which improves accuracy of ternary weight networks with binary activations by randomizing quantization error, and b) a method of implementing ternary weight networks with binary activations using binary operations. READ MORE

5. 4. Automated Glioma Segmentation in MRI using Deep Convolutional Networks

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Dennis Sångberg; [2015]
   Keywords : deep; convolutional; networks; neural networks; image segmentation; brain tumour; glioma; MRI; BRATS;

   Abstract : Manual segmentation of brain tumours is a time consuming process, results often show high variability, and there is a call for automation in clinical practice. In this thesis the use of deep convolutional networks for automatic glioma segmentation in MRI is investigated. READ MORE

6. 5. Face Verification and Open-Set Identification for Real-Time Video Applications

   University essay from Lunds universitet/Matematik LTH

   Author : Jakob Grundström; [2015]
   Keywords : computer vision; face verification; open-set identification; real-time video analysis; joint bayesian classifier; local binary pattern; convolutional neural network; fine-tuning; deep representations; Mathematics and Statistics;

   Abstract : In this work we aim to develop a video-based face verification algorithm suitable for real-time use in an embedded environment with limited space and restricted computational resources. We investigate face verification based solutions to envisioned real-time video applications that require open-set face identification. READ MORE