Deep transfer learning for art classification problems
In this paper we investigate whether Deep Convolutional Neural Networks (DCNNs), which
have obtained state of the art results on the ImageNet challenge, are able to perform equally …
have obtained state of the art results on the ImageNet challenge, are able to perform equally …
Two-stage visual navigation by deep neural networks and multi-goal reinforcement learning
A Shantia, R Timmers, Y Chong, C Kuiper… - Robotics and …, 2021 - Elsevier
In this paper, we propose a two-stage learning framework for visual navigation in which the
experience of the agent during exploration of one goal is shared to learn to navigate to other …
experience of the agent during exploration of one goal is shared to learn to navigate to other …
Automatic visual quality assessment of biscuits using machine learning
Considering the great competition among industries, one of the main factors that make
companies market leaders is the quality of their products. However, the techniques applied …
companies market leaders is the quality of their products. However, the techniques applied …
Contributions to deep transfer learning: from supervised to reinforcement learning
M Sabatelli - 2022 - orbi.uliege.be
Throughout our lifetime we constantly need to deal with unforeseen events, which
sometimes can be so overwhelming to look insurmountable. A common strategy that …
sometimes can be so overwhelming to look insurmountable. A common strategy that …
A Fault Detection Method and System for Highway Tunnel dome light Based on Improved YOLO with Locatization Loss Function
L Dai, C Tang, G Yang, H Yang, J Luo… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Sufficient light intensity in the tunnel plays an extremely important role in ensuring the safety
of driving in the tunnel. Tunnel dome light is the basic facility to ensure tunnel lighting. The …
of driving in the tunnel. Tunnel dome light is the basic facility to ensure tunnel lighting. The …
[PDF][PDF] Fine-Grained Classification of Vehicles by using Convolutional Neural Network (CNN)
D ul Khairi, MU Arif, MS Habib, SM Akhter - ieec.neduet.edu.pk
Machine Learning has a practical and profound application in intelligent traffic management
systems. ITS is a very broad terminology in which includes vehicle detection, classification …
systems. ITS is a very broad terminology in which includes vehicle detection, classification …
Machine Learning in Robotic Navigation: Deep Visual Localization and Adaptive Control
A Shantia - 2021 - research.rug.nl
University of Groningen Machine Learning in Robotic Navigation Shantia, Amir Page 1 University
of Groningen Machine Learning in Robotic Navigation Shantia, Amir DOI …
of Groningen Machine Learning in Robotic Navigation Shantia, Amir DOI …
Indoor scene verification: Evaluation of indoor scene representations for the purpose of location verification
F Finfando - 2020 - diva-portal.org
When human's visual system is looking at two pictures taken in some indoor location, it is
fairly easy to tell whether they were taken in exactly the same place, even when the location …
fairly easy to tell whether they were taken in exactly the same place, even when the location …