A curated list of papers for object detection in aerial scenes and related application resources
- Deep Learning based Papers
- Non-Deep Learning based Papers
- Review/survey papers
- Datasets
- Awesome Researchers
- Awesome Resources
- Projects
- 2019-ORSIm Detector: A novel object detection framework in optical remote sensing imagery using spatial-frequency channel features (2019 - IEEE Transactions on Geoscience and Remote Sensing)
- 2019-Dac-sdc low power object detection challenge for uav applications (2019-TPAMI)
- 2019 - AVDNet: A SmallSized Vehicle Detection Network for Aerial Visual Data (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019 - Vehicle Detection in High-Resolution Images Using Superpixel Segmentation and CNN Iteration Strategy (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019 - Adaptive Anchor for Fast Object Detection in Aerial Image (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019 - Local Attention Networks for Occluded Airplane Detection in Remote Sensing Images (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019-Multi-Scale Spatial and Channel-wise Attention for Improving Object Detection in Remote Sensing Imagery (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019-Vehicle Detection From High-Resolution Remote Sensing Imagery Using Convolutional Capsule Networks (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019-Scale adaptive proposal network for object detection in remote sensing images (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019-Learning RoI Transformer for Oriented Object Detection in Aerial Images (-CVPR-2019)
- 2019-SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes (ICIP-2019)
- [2019-SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects](SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects) (ICCV-2019)
- 2019-Cropping Region Proposal Network Based Framework for Efficient Object Detection on Large Scale Remote Sensing Images (ICME-2019)
- 2019-Feature-Attentioned Object Detection in Remote Sensing Imagery (ICIP-2019)
- 2019-Patch-Level Augmentation for Object Detection in Aerial Images (ICCVW-2019)
- 2019-Towards universal object detection by domain attention (CVPR-2019)
- 2019-Learning Object-Wise Semantic Representation for Detection in Remote Sensing Imagery (CVPRW-2019)
- 2019-Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach (ICCV-2019)
- 2019-SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes (ICCV-2019)
- 2019-The effects of super-resolution on object detection performance in satellite imagery (CVPRW-2019)
- 2018-Detection ofMulticlass Objects in Optical Remote Sensing Images (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2018 - Convolutional SVM Networks for Object Detection in UAV Imagery
- 2018 - Semantic Labeling Based Vehicle Detection in Aerial Imagery
- 2018 - The Unmanned Aerial Vehicle Benchmark- Object Detection and Tracking
- 2018 - Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network
- 2018 - Vehicle Detection in Aerial Images
- 2018 - Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images
- 2018 - Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images
- 2017 - Fast Deep Vehicle Detection in Aerial Images
- 2017 - Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural Networks
- 2017 - Fast multidirectional vehicle detection on aerial images using region based convolutional neural networks
- 2017 - Deep Multi-modal Vehicle Detection in Aerial ISR Imagery
- 2017 - A closer look- Small object detection in faster R-CNN
- 2017 - Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks
- 2016 - RIFD-CNN Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
- 2016 - Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
- 2016 - Efficient saliency-based object detection in remote sensing images using deep belief networks
- 2016 - Convolutional Neural Network Based Automatic Object Detection on Aerial Images
- 2019 - Detection of Small Floating Targets on the Sea Surface Based on Multi-Features and Principal Component Analysis (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019 - Infrared Small Target Detection Using Homogeneity-Weighted Local Contrast Measure (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019 - Infrared Small Target Detection by Density Peaks Searching and Maximum-Gray Region Growing (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019-Ship Detection With Superpixel-Level Fisher Vector in High-Resolution SAR Images (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019-Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2019-Fast and Automatic Ship Detection for SAR Imagery Based on Multiscale Contrast Measure (2019 - IEEE Geoscience and Remote Sensing Letters)
- 2018 - Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images
- 2018 - Robust vehicle detection in aerial images using bag-of-words and orientation aware scanning
- 2017 - An On-Road Vehicle Detection Method for High-Resolution Aerial Images Based on Local and Global Structure Learning
- 2017 - An Enhanced Viola-Jones Vehicle Detection Method From Unmanned Aerial Vehicles Imagery
- 2017 - SDBD- A hierarchical region-of-interest detection approach in large-scale remote sensing image
- 2017 - An effective method based on ACF for aircraft detection in remote sensing images
- 2016 - Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature
- 2015 - Weakly supervised learning for target detection in remote sensing images
- 2015 - Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning
- 2014 - Object detection in high-resolution remote sensing images using rotation invariant parts based model
- 2017 - Deep Learning in Remote Sensing- A Comprehensive Review and List of Resources
- 2016 - A survey on object detection in optical remote sensing images
- DOTA, 2018 - DOTA: A Large-scale Dataset for Object DeTection in Aerial Images
- iSAID, 2019-iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
- VisDrone 2018-Vision Meets Drone: A Challenge
- UAVDT, 2018 - The Unmanned Aerial Vehicle Benchmark- Object Detection and Tracking
- DAC-SDC, 2019-DAC-SDC Low Power Object Detection Challenge for UAV Applications
- VEDAI, 2015 - VEDAI Vehicle Detection in Aerial Imagery: A small target detection
- DLR-3K
- NWPU VHR-10 dataset, 2016 - Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images
- Aerial Elephant, 2019-The Aerial Elephant Dataset: A New Public Benchmark for Aerial Object Detection.
- Vehicle Re-ID, [2019-Vehicle Re-identification in Aerial Imagery: Dataset and Approach]
- Okutama, 2017-Okutama-action:An aerial view video dataset for concurrent human action detection
If you have any suggestions (missing papers, projects, source code, new papers, key researchers, dataset, etc.), please feel free to edit and pull a request. (or just let me know the title of paper)
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