Name
Abstract | ||
|---|---|---|
In this paper, we present a comprehensive study on the utility of deep convolutional neural networks with two state-of-the-art pooling layers which are placed after convolutional layers and fine-tuned in an end-to-end manner for visual place recognition task in challenging conditions, including seasonal and illumination variations. We compared extensively the performance of deep learned global fea... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MMSP53017.2021.9733617 | 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP) |
Keywords | DocType | ISSN |
Visualization,Conferences,Lighting,Signal processing,Feature extraction,Visual databases,Convolutional neural networks | Conference | mmsp (2021) 1-6 |
ISBN | Citations | PageRank |
978-1-6654-3288-7 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farid Alijani | 1 | 0 | 0.34 |
| Esa Rahtu | 2 | 832 | 52.76 |