README.md

CenterNet

Introduction

@article{zhou2019objects,
  title={Objects as Points},
  author={Zhou, Xingyi and Wang, Dequan and Kr{\"a}henb{\"u}hl, Philipp},
  booktitle={arXiv preprint arXiv:1904.07850},
  year={2019}
}

Results and models

Backbone	DCN	Mem (GB)	Box AP	Flip box AP	Config	Download
ResNet-18	N	3.45	25.9	27.3	config	model | log
ResNet-18	Y	3.47	29.5	30.9	config	model | log

Note:

• Flip box AP setting is single-scale and flip=True.
• Due to complex data enhancement, we find that the performance is unstable and may fluctuate by about 0.4 mAP. mAP 29.4 ~ 29.8 is acceptable in ResNet-18-DCNv2.
• Compared to the source code, we refer to CenterNet-Better, and make the following changes
  • fix wrong image mean and variance in image normalization to be compatible with the pre-trained backbone.
  • Use SGD rather than ADAM optimizer and add warmup and grad clip.
  • Use DistributedDataParallel as other models in MMDetection rather than using DataParallel.