YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images
出版年份 2020 全文链接
标题
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images
作者
关键词
-
出版物
Remote Sensing
Volume 12, Issue 15, Pages 2501
出版商
MDPI AG
发表日期
2020-08-05
DOI
10.3390/rs12152501
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection
- (2020) Zhanchao Huang et al. INFORMATION SCIENCES
- MDSSD: multi-scale deconvolutional single shot detector for small objects
- (2020) Lisha Cui et al. Science China-Information Sciences
- Deep neural networks for automated detection of marine mammal species
- (2020) Yu Shiu et al. Scientific Reports
- A Coarse-to-Fine Network for Ship Detection in Optical Remote Sensing Images
- (2020) Yue Wu et al. Remote Sensing
- Recent advances in small object detection based on deep learning: A review
- (2020) Kang Tong et al. IMAGE AND VISION COMPUTING
- UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective
- (2020) Mingjie Liu et al. SENSORS
- IoU-Adaptive Deformable R-CNN: Make Full Use of IoU for Multi-Class Object Detection in Remote Sensing Imagery
- (2019) Jiangqiao Yan et al. Remote Sensing
- Scale Adaptive Proposal Network for Object Detection in Remote Sensing Images
- (2019) Shuo Zhang et al. IEEE Geoscience and Remote Sensing Letters
- A locally-constrained YOLO framework for detecting small and densely-distributed building footprints
- (2019) Yiqun Xie et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- $\mathcal{R}^2$ -CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images
- (2019) Jiangmiao Pang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Deep Learning for Generic Object Detection: A Survey
- (2019) Li Liu et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Object detection in optical remote sensing images: A survey and a new benchmark
- (2019) Ke Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- SCAN: Semantic Context Aware Network for Accurate Small Object Detection
- (2018) Linting Guan et al. International Journal of Computational Intelligence Systems
- A light and faster regional convolutional neural network for object detection in optical remote sensing images
- (2018) Peng Ding et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning
- (2018) Benjamin Kellenberger et al. REMOTE SENSING OF ENVIRONMENT
- Fast Automatic Airport Detection in Remote Sensing Images Using Convolutional Neural Networks
- (2018) Fen Chen et al. Remote Sensing
- Small Object Detection in Optical Remote Sensing Images via Modified Faster R-CNN
- (2018) Yun Ren et al. Applied Sciences-Basel
- Deformable Faster R-CNN with Aggregating Multi-Layer Features for Partially Occluded Object Detection in Optical Remote Sensing Images
- (2018) Yun Ren et al. Remote Sensing
- Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network
- (2017) Guangliang Cheng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Arbitrary-Oriented Vehicle Detection in Aerial Imagery with Single Convolutional Neural Networks
- (2017) et al. Remote Sensing
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
- (2017) Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine
- A survey on object detection in optical remote sensing images
- (2016) Gong Cheng et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Vehicle detection in aerial imagery : A small target detection benchmark
- (2016) Sebastien Razakarivony et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
- (2014) Xueyun Chen et al. IEEE Geoscience and Remote Sensing Letters
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now