Name
Title | ||
|---|---|---|
Performance Comparison of Several Deep Learning-Based Object Detection Algorithms Utilizing Thermal Images |
Abstract | ||
|---|---|---|
The recent advancement in deep learning approaches of machine learning and computer vision technology has paved the way for many advancements in object detection prediction models used in a variety of fields. Object detection algorithms are improving continuously. Many of the common Application Program Interfaces (APIs) or libraries can be used for this purpose. The most common techniques are impl... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IDSTA53674.2021.9660820 | 2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA) |
Keywords | DocType | ISBN |
Object Detection,Detection Accuracy,Models Accuracy Comparison,Thermal Images,TensorFlow 2.0,Keras,SSD,ResNet,MobileNet,EfficientDet,Computer Vision,Neural Networks,Deep Learning,Machine Learning | Conference | 978-1-6654-2180-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yousef O. Sharrab | 1 | 0 | 0.34 |
| Sana’a Al-shboul | 2 | 0 | 0.34 |
| Mohammad Alsmira | 3 | 0 | 0.34 |
| Ala’ Khalifeh | 4 | 0 | 0.34 |
| Zyad Dwekat | 5 | 0 | 0.34 |
| Izzat Alsmadi | 6 | 3 | 3.91 |
| Ahmad Al-Khasawneh | 7 | 0 | 0.34 |