Single-stage object detector with local binary pattern for remote sensing images
Author:
Affiliation:
1. School of Aerospace Science & Technology, Xidian University, Xi’an, China
2. Remote Sensing Technology Department of Shaanxi Academy of Aerospace Technology Application Co, Ltd, Xi’an, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
China Postdoctoral Science Foundation
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2232543
Reference58 articles.
1. HOG and Gabor Filter Based Pedestrian Detection using Convolutional Neural Networks
2. Bochkovskiy, A., C.Y. Wang, and H.Y. Mark Liao. 2020. “Yolov4: Optimal Speed and Accuracy of Object Detection.” arXiv preprint arXiv:2004.10934.
3. Cascade R-CNN: Delving Into High Quality Object Detection
4. Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images
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