DocumentAIKit/configs/centernet

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CenterNet (CenterNet: Objects as Points)

Table of Contents

• Introduction
• Model Zoo
• Citations

Introduction

CenterNet is an Anchor Free detector, which model an object as a single point -- the center point of its bounding box. The detector uses keypoint estimation to find center points and regresses to all other object properties. The center point based approach, CenterNet, is end-to-end differentiable, simpler, faster, and more accurate than corresponding bounding box based detectors.

Model Zoo

CenterNet Results on COCO-val 2017

backbone	input shape	mAP	FPS	download	config
DLA-34(paper)	512x512	37.4	-	-	-
DLA-34	512x512	37.6	-	model	config
ResNet50 + DLAUp	512x512	38.9	-	model	config
MobileNetV1 + DLAUp	512x512	28.2	-	model	config
MobileNetV3_small + DLAUp	512x512	17	-	model	config
MobileNetV3_large + DLAUp	512x512	27.1	-	model	config
ShuffleNetV2 + DLAUp	512x512	23.8	-	model	config

Citations

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