Awesome Drone Vision

• Models
  • Object Detection
  • Object Tracking
  • Segmentation
• Datasets

Object Detection Models

• YOLO
  • YOLOv1 (You Only Look Once: Unified, Real-Time Object Detection) (2015) [paper]
  • YOLOv2 (YOLO9000: Better, Faster, Stronger) (2016) [paper]
  • YOLOv3: An Incremental Improvement (2018) [paper]
  • YOLOv4: Optimal Speed and Accuracy of Object Detection (2020) [paper] [github]
  • YOLOv5 (2020) [github]
• SSD
  • SSD: Single Shot MultiBox Detector (2016) [paper]
• EfficientNet
  • EfficientDet: Scalable and Efficient Object Detection (2019) [paper] [github]
• Anchor-free models
  • YOLOX: Exceeding YOLO Series in 2021 [paper]
  • FCOS: Fully Convolutional One-Stage Object Detection (2019) [paper]
  • ATSS (Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection) (2021) [paper]
• SBS
  • Object Detection in Drone Imagery via Sample Balance Strategies and Local Feature Enhancement (2021) [paper]
• ZoomInNet
  • ZoomInNet: A Novel Small Object Detector in Drone Images with Cross-Scale Knowledge Distillation (2021) [paper]

Object Tracking Models

• MOT
  • FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking (2020) [paper] [github]
• SORT
  • SORT (Simple Online and Realtime Tracking) (2016) [paper] [github]
  • DeepSORT (Simple Online and Realtime Tracking with a Deep Association Metric) (2017) [paper] [github]

Segmentation Models

• SegNet
  • SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation (2015) [paper]
• DeepLab
  • DeepLab V3 (Rethinking Atrous Convolution for Semantic Image Segmentation) (2017) [paper] [github]
  • DeepLab V3+ (Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation) (2018) [paper]
• Crack segmentation
  • CrackNet (Automated pixel-level pavement crack detection on 3D asphalt surfaces using a deep-learning network) (2017) [paper(paid)]
  • CrackNet-V (Pixel-level cracking detection on 3D asphalt pavement images through deep-learning-based CrackNet-V) (2019) [paper(paid)]
  • DeepCrack: A deep hierarchical feature learning architecture for crack segmentation (2019) [paper] [github]
  • SDDNet: Real-Time Crack Segmentation (2019) [paper]
  • SCCDNet: A Pixel-Level Crack Segmentation Network (2021) [paper] [github]
• Unet
  • U-Net: Convolutional Networks for Biomedical Image Segmentation (2015) [paper]
  • UNet++: A Nested U-Net Architecture for Medical Image Segmentation (2018) [paper]
  • IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks (2019) [paper] [github]

Datasets

• Drone
  • VisDrone (2019) [github] [home] [paper]
  • UAVDT (2018) [home] [paper]
  • UAV-Human (2021) [github] [paper]
• Crack
  • CCSD (Concrete Crack Segmentation Dataset) (2019) [home]
  • CCIC (Concrete Crack Images for Classification) (2019) [home]
  • SDNET2018: A concrete crack image dataset for machine learning applications [home]
• Object Tracking
  • MOT (Multiple Object Tracking) [home]
  • VOT (visual object tracking) [home]