Visual Object Detection using Convolutional Neural Networks in a Virtual Environment
Visual object detection is a popular computer vision task that has been intensively investigated using deep learning on real data. However, data from virtual environments have not received the same attention. A virtual environment enables generating data for locations that are not easily reachable f...
Main Author: | Norrstig, Andreas |
---|---|
Format: | Others |
Language: | English |
Published: |
Linköpings universitet, Datorseende
2019
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156609 |
Similar Items
-
Semantic Segmentation With Oblique Convolution for Object Detection
by: Yun Lin, et al.
Published: (2020-01-01) -
Detection of Humans in Video Streams Using Convolutional Neural Networks
by: Wang, Huijie
Published: (2017) -
Curriculum Learning with Deep Convolutional Neural Networks
by: Avramova, Vanya
Published: (2015) -
Book spine recognition with the use of deep neural networks
by: M.O. Kalinina, et al.
Published: (2020-12-01) -
Fast and Lightweight Object Detection Network: Detection and Recognition on Resource Constrained Devices
by: Bernardo Augusto Godinho de Oliveira, et al.
Published: (2018-01-01)