Name
Title | ||
|---|---|---|
Bidirectional Self-Rectifying Networks with Bayesian Modelling for Feature Detection and Keypoint Allocation |
Abstract | ||
|---|---|---|
In machine vision, deep learning frameworks are getting more attractive to researchers owing to their accuracy and robustness for feature extraction. However, the uncertainty in data or model has an adversary impact on the prediction and limits the performance of deep learning. To address the problem associated with uncertainty, we propose a bidirectional self-rectifying network with Bayesian mode... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICMLC54886.2021.9737243 | 2021 International Conference on Machine Learning and Cybernetics (ICMLC) |
Keywords | DocType | ISBN |
Deep learning,Uncertainty,Structural panels,Feature detection,Feature extraction,Robustness,Bayes methods | Conference | 978-1-6654-6608-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiuchen Zhu | 1 | 0 | 0.34 |
| Quang Ha | 2 | 0 | 0.34 |