Deep-NFA: A deep a contrario framework for tiny object detection
Open Access
- 2 February 2024
- journal article
- research article
- Published by Elsevier in Pattern Recognition
- Vol. 150
Abstract
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This publication has 14 references indexed in Scilit:
- Pixel-accurate road crack detection in presence of inaccurate annotationsNeurocomputing, 2022
- Ship Detection in Sentinel 2 Multi-Spectral Images with Self-Supervised LearningRemote Sensing, 2021
- Extended Feature Pyramid Network for Small Object DetectionIEEE Transactions on Multimedia, 2021
- Pavement Crack Detection Algorithm Based on Densely Connected and Deeply Supervised NetworkIEEE Access, 2021
- How to Reduce Anomaly Detection in Images to Anomaly Detection in NoiseImage Processing On Line, 2019
- Efficient evaluation of the Number of False Alarm criterionEURASIP Journal on Image and Video Processing, 2019
- Road Extraction by Deep Residual U-NetIEEE Geoscience and Remote Sensing Letters, 2018
- CrackTree: Automatic crack detection from pavement imagesPattern Recognition Letters, 2012
- A-contrario Detectability of Spots in Textured BackgroundsJournal of Mathematical Imaging and Vision, 2008
- A grouping principle and four applicationsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2003