CBNet: A Novel Composite Backbone Network Architecture for Object Detection
by Yudong Liu
Update
We release our code based on mmdetection, and you can refer to https://github.com/VDIGPKU/CBNet
Introduction
This repository is modified on Cascade R-CNN, which is re-implemented by by Zhaowei Cai and Nuno Vasconcelos on the base of Detectron.
Please follow Detectron on how to install the environment. The project is only free for academic research purposes. For commerce permission, please contact [email protected].
Citation
If you use our code/model/data, please cite our paper: https://aaai.org/Papers/AAAI/2020GB/AAAI-LiuY.1833.pdf
Cascade Mask R-CNN without Bells & Whistles
|         backbone        | type | lr schd |
im/ gpu |
box AP |
box AP50 |
box AP75 |
mask AP |
mask AP50 |
mask AP75 |
|---|---|---|---|---|---|---|---|---|---|
| [X-152-32x8d-FPN-IN5k-cascade] | Mask | s1x | 1 | 48.3 | 67.0 | 52.8 | 41.0 | 64.1 | 44.2 |
| Dual-X-152-32x8d-FPN-IN5k-cascade | Mask | s1x | 1 | 50.0 | 68.8 | 54.6 | 42.0 | 64.6 | 45.6 |