| semantic-segmentation-on-ade20k | HRNetV2 + OCR + RMI (PaddleClas pretrained) | #152 | Validation mIoU: 47.98 |
| semantic-segmentation-on-ade20k | OCR(HRNetV2-W48) | #180 | Validation mIoU: 45.66 |
| semantic-segmentation-on-ade20k | OCR (ResNet-101) | #186 | Validation mIoU: 45.28 |
| semantic-segmentation-on-ade20k-val | HRNetV2 + OCR + RMI (PaddleClas pretrained) | #61 | mIoU: 47.98 |
| semantic-segmentation-on-ade20k-val | OCR (HRNetV2-W48) | #72 | mIoU: 45.66 |
| semantic-segmentation-on-ade20k-val | OCR (ResNet-101) | #74 | mIoU: 45.28 |
| semantic-segmentation-on-bdd100k-val | OCRNet | #13 | mIoU: 60.1 |
| semantic-segmentation-on-cityscapes | HRNetV2 + OCR + | #8 | Mean IoU (class): 84.5% |
| semantic-segmentation-on-cityscapes | HRNetV2 + OCR (w/ ASP) | #11 | Mean IoU (class): 83.7% |
| semantic-segmentation-on-cityscapes | OCR (HRNetV2-W48, coarse) | #18 | Mean IoU (class): 83.0% |
| semantic-segmentation-on-cityscapes | OCR (ResNet-101, coarse) | #24 | Mean IoU (class): 82.4% |
| semantic-segmentation-on-cityscapes | OCR (ResNet-101) | #31 | Mean IoU (class): 81.8% |
| semantic-segmentation-on-cityscapes-val | HRNetV2 + OCR + RMI (PaddleClas pretrained) | #21 | mIoU: 83.6 |
| semantic-segmentation-on-cityscapes-val | OCR (ResNet-101-FCN) | #44 | mIoU: 80.6 |
| semantic-segmentation-on-coco-stuff-test | HRNetV2 + OCR + RMI (PaddleClas pretrained) | #6 | mIoU: 45.2% |
| semantic-segmentation-on-coco-stuff-test | OCR (HRNetV2-W48) | #9 | mIoU: 40.5% |
| semantic-segmentation-on-coco-stuff-test | OCR (ResNet-101) | #13 | mIoU: 39.5% |
| semantic-segmentation-on-lip-val | HRNetV2 + OCR + RMI (PaddleClas pretrained) | #5 | mIoU: 58.2% |
| semantic-segmentation-on-lip-val | OCR (HRNetV2-W48) | #6 | mIoU: 56.65% |
| semantic-segmentation-on-lip-val | OCR (ResNet-101) | #8 | mIoU: 55.6% |
| semantic-segmentation-on-pascal-context | HRNetV2 + OCR + RMI (PaddleClas pretrained) | #11 | mIoU: 59.6 |
| semantic-segmentation-on-pascal-context | OCR (HRNetV2-W48) | #20 | mIoU: 56.2 |
| semantic-segmentation-on-pascal-context | OCR (ResNet-101) | #28 | mIoU: 54.8 |
| semantic-segmentation-on-pascal-voc-2012 | OCR (HRNetV2-W48) | #11 | Mean IoU: 84.5% |
| semantic-segmentation-on-pascal-voc-2012 | OCR (ResNet-101) | #12 | Mean IoU: 84.3% |