In Track 3 the goal is to locate the bridge in the largescale optical satellite images. The coordinates of the bridge are horizontal bounding box.
Two-stage object detection method Faster RCNN based on ResNet-50 is developed for object detection tracks.
It is modified from mmdetection. The master branch works with PyTorch 1.1 or higher.
- Linux
- Python 3.5+ (Say goodbye to Python2)
- PyTorch 1.1
- CUDA 9.0+
- NCCL 2+
- GCC 4.9+
- mmcv
The code will be available soon.
Method | Result (mAP) |
---|---|
Faster RCNN | 59.52 |