Implementation of Deep Learning-based Hierarchical Object Detection System for High-Resolution Images
Author:
Affiliation:
1. Nihon University,Graduate School of Engineering and Technology,Koriyama,Japan
2. Nihon University,College of Engineering,Koriyama,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10013950/10014027/10014373.pdf?arnumber=10014373
Reference5 articles.
1. Evolution of YOLO algorithm and YOLOV5: The state-of-the-art object detection algorithm;thuan,0
2. Dynamic Zoom-in Network for Fast Object Detection in Large Images
3. VisDrone-DET2019: The vision meets drone object detection in image challenge results,0
4. Multi-View Object Detection Based on Deep Learning
5. Recent advances in deep learning for object detection
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1. [Paper] Deep Learning based Hierarchical Object Detection System Adopting a Depth Correction Scheme for High-Resolution Aerial Images Towards Realization of Autonomous UAV Flight;ITE Transactions on Media Technology and Applications;2024
2. CGTI-Net: Deep-Learning-Based Object Detection Network for High-Resolution Aerial Images;2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS);2023-11-28
3. Clustering Re-Inference Algorithm for Deep Learning-Based Hierarchical Object Detection System;2023 IEEE 12th Global Conference on Consumer Electronics (GCCE);2023-10-10
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