configs/ocrnet/README.md

Object-Contextual Representations for Semantic Segmentation

Introduction

[ALGORITHM]

@article{YuanW18,
  title={Ocnet: Object context network for scene parsing},
  author={Yuhui Yuan and Jingdong Wang},
  booktitle={arXiv preprint arXiv:1809.00916},
  year={2018}
}

@article{YuanCW20,
  title={Object-Contextual Representations for Semantic Segmentation},
  author={Yuhui Yuan and Xilin Chen and Jingdong Wang},
  booktitle={ECCV},
  year={2020}
}

Results and models

Cityscapes

HRNet backbone

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	download
OCRNet	HRNetV2p-W18-Small	512x1024	40000	3.5	10.45	74.30	75.95	model | log
OCRNet	HRNetV2p-W18	512x1024	40000	4.7	7.50	77.72	79.49	model | log
OCRNet	HRNetV2p-W48	512x1024	40000	8	4.22	80.58	81.79	model | log
OCRNet	HRNetV2p-W18-Small	512x1024	80000	-	-	77.16	78.66	model | log
OCRNet	HRNetV2p-W18	512x1024	80000	-	-	78.57	80.46	model | log
OCRNet	HRNetV2p-W48	512x1024	80000	-	-	80.70	81.87	model | log
OCRNet	HRNetV2p-W18-Small	512x1024	160000	-	-	78.45	79.97	model | log
OCRNet	HRNetV2p-W18	512x1024	160000	-	-	79.47	80.91	model | log
OCRNet	HRNetV2p-W48	512x1024	160000	-	-	81.35	82.70	model | log

ResNet backbone

Method	Backbone	Crop Size	Batch Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	download
OCRNet	R-101-D8	512x1024	8	40000	-	-	80.09	-	model | log
OCRNet	R-101-D8	512x1024	16	40000	8.8	3.02	80.30	-	model | log
OCRNet	R-101-D8	512x1024	16	80000	8.8	3.02	80.81	-	model | log

ADE20K

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	download
OCRNet	HRNetV2p-W18-Small	512x512	80000	6.7	28.98	35.06	35.80	model | log
OCRNet	HRNetV2p-W18	512x512	80000	7.9	18.93	37.79	39.16	model | log
OCRNet	HRNetV2p-W48	512x512	80000	11.2	16.99	43.00	44.30	model | log
OCRNet	HRNetV2p-W18-Small	512x512	160000	-	-	37.19	38.40	model | log
OCRNet	HRNetV2p-W18	512x512	160000	-	-	39.32	40.80	model | log
OCRNet	HRNetV2p-W48	512x512	160000	-	-	43.25	44.88	model | log

Pascal VOC 2012 + Aug

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	download
OCRNet	HRNetV2p-W18-Small	512x512	20000	3.5	31.55	71.70	73.84	model | log
OCRNet	HRNetV2p-W18	512x512	20000	4.7	19.91	74.75	77.11	model | log
OCRNet	HRNetV2p-W48	512x512	20000	8.1	17.83	77.72	79.87	model | log
OCRNet	HRNetV2p-W18-Small	512x512	40000	-	-	72.76	74.60	model | log
OCRNet	HRNetV2p-W18	512x512	40000	-	-	74.98	77.40	model | log
OCRNet	HRNetV2p-W48	512x512	40000	-	-	77.14	79.71	model | log