Add to ORKGThe Activis works to provide a practical help for visual impaired people, developing an Android application to navigate in indoor environment. The need for an Object Detection model for this purpose is clear. In this thesis work are proposed and analyzed the performances of two models: SSD-Lite with Mobilenet V2 and Tiny-DSOD. It is also proposed a new dataset called Office dataset, useful to test the two algorithms
This thesis describes a process of creating a mobile application using deep convolutional neural net...
In this bachelor’s thesis different deep neural networks for object detection are studied. The netwo...
The World Health Organization (WHO) reported in 2019 that at least 2.2 billion people were visual-im...
The Activis works to provide a practical help for visual impaired people, developing an Android appl...
Object detection plays a crucial role in the development of Electronic Travel Aids (ETAs), capable t...
This paper concerns itself with object detection as a possible solution to Valmet’s quest for a visu...
People with visually impaired had difficulties in doing activities related to environment, social an...
This work researches how an efficient object detection neural network can be implemented. The object...
This master thesis describes a practical implementation of a deep learning framework for object dete...
To assist user in detecting and recognizing accurately the electronic components using deep learning...
Object detection is a significant activity in computer vision, and various approaches have been prop...
2018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018 --4 October 2018 thro...
This master’s thesis deals with the implementation of functional solution for classifying road users...
Computer Vision is now an active research area under Deep Learning and Object Detection is an integr...
With the advancement in deep learning in the past few years, we are able to create complex machine l...
This thesis describes a process of creating a mobile application using deep convolutional neural net...
In this bachelor’s thesis different deep neural networks for object detection are studied. The netwo...
The World Health Organization (WHO) reported in 2019 that at least 2.2 billion people were visual-im...
The Activis works to provide a practical help for visual impaired people, developing an Android appl...
Object detection plays a crucial role in the development of Electronic Travel Aids (ETAs), capable t...
This paper concerns itself with object detection as a possible solution to Valmet’s quest for a visu...
People with visually impaired had difficulties in doing activities related to environment, social an...
This work researches how an efficient object detection neural network can be implemented. The object...
This master thesis describes a practical implementation of a deep learning framework for object dete...
To assist user in detecting and recognizing accurately the electronic components using deep learning...
Object detection is a significant activity in computer vision, and various approaches have been prop...
2018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018 --4 October 2018 thro...
This master’s thesis deals with the implementation of functional solution for classifying road users...
Computer Vision is now an active research area under Deep Learning and Object Detection is an integr...
With the advancement in deep learning in the past few years, we are able to create complex machine l...
This thesis describes a process of creating a mobile application using deep convolutional neural net...
In this bachelor’s thesis different deep neural networks for object detection are studied. The netwo...
The World Health Organization (WHO) reported in 2019 that at least 2.2 billion people were visual-im...