| dichotomous-image-segmentation-on-dis-te1 | PSPNet | #14 | max F-Measure: 0.645weighted F-measure: 0.557MAE: 0.089… |
| dichotomous-image-segmentation-on-dis-te2 | PSPNet | #12 | max F-Measure: 0.724weighted F-measure: 0.636MAE: 0.092… |
| dichotomous-image-segmentation-on-dis-te3 | PSPNet | #15 | max F-Measure: 0.747weighted F-measure: 0.657MAE: 0.092… |
| dichotomous-image-segmentation-on-dis-te4 | PSPNet | #17 | max F-Measure: 0.725weighted F-measure: 0.630MAE: 0.107… |
| dichotomous-image-segmentation-on-dis-vd | PSPNet | #17 | max F-Measure: 0.691weighted F-measure: 0.603MAE: 0.102… |
| real-time-semantic-segmentation-on-camvid | PSPNet | #28 | Frame (fps): 5.4Time (ms): 185.0 |
| real-time-semantic-segmentation-on-nyu-depth-1 | PSPNet101 | #5 | mIoU: 43.2Speed(ms/f): 72 |
| real-time-semantic-segmentation-on-nyu-depth-1 | PSPNet50 | #7 | mIoU: 41.8Speed(ms/f): 47 |
| real-time-semantic-segmentation-on-nyu-depth-1 | PSPNet18 | #10 | mIoU: 35.9Speed(ms/f): 19 |
| semantic-segmentation-on-ade20k | PSPNet | #190 | Validation mIoU: 44.94Test Score: 55.38 |
| semantic-segmentation-on-ade20k | PSPNet (ResNet-152) | #200 | Validation mIoU: 43.51 |
| semantic-segmentation-on-ade20k | PSPNet
(ResNet-101) | #201 | Validation mIoU: 43.29 |
| semantic-segmentation-on-ade20k-val | PSPNet (ResNet-152) | #81 | mIoU: 43.51% |
| semantic-segmentation-on-ade20k-val | PSPNet (ResNet-101) | #82 | mIoU: 43.29% |
| semantic-segmentation-on-bdd100k-val | PSPNet | #7 | mIoU: 62.3 |
| semantic-segmentation-on-cityscapes | PSPNet++ | #47 | Mean IoU (class): 80.2% |
| semantic-segmentation-on-cityscapes | PSPNet | #55 | Mean IoU (class): 78.4% |
| semantic-segmentation-on-cityscapes-val | PSPNet (Dilated-ResNet-101) | #52 | mIoU: 79.7 |
| semantic-segmentation-on-dada-seg | PSPNet (ResNet-101) | #20 | mIoU: 20.1 |
| semantic-segmentation-on-densepass | PSPNet (ResNet-50) | #28 | mIoU: 29.5% |
| semantic-segmentation-on-fine-grained-grass | PSPNet | #6 | mIoU: 47.95 |
| semantic-segmentation-on-pascal-context | PSPNet (ResNet-101) | #45 | mIoU: 47.8 |
| semantic-segmentation-on-pascal-voc-2012 | PSPNet | #9 | Mean IoU: 85.4% |
| semantic-segmentation-on-pascal-voc-2012 | PSPNet (ResNet-101) | #23 | Mean IoU: 82.6% |
| semantic-segmentation-on-potsdam | PSPNet | #9 | mIoU: 82.98 |
| semantic-segmentation-on-scannetv2 | PSPNet | #8 | Mean IoU: 47.5% |
| semantic-segmentation-on-selma | PSPNet | #5 | mIoU: 68.4 |
| semantic-segmentation-on-trans10k | PSPNet | #8 | mIoU: 68.23%GFLOPs: 187.03 |
| semantic-segmentation-on-urbanlf | PSPNet | #11 | mIoU (Syn): 75.78mIoU (Real): 76.34 |
| semantic-segmentation-on-us3d | PSNet | #7 | mIoU: 73.12 |
| semantic-segmentation-on-vaihingen | PSPNet | #6 | mIoU: 76.79 |
| thermal-image-segmentation-on-mfn-dataset | PSPNet | #37 | mIOU: 46.1 |
| video-semantic-segmentation-on-camvid | PSPNet-50 | #4 | Mean IoU: 76 |
| video-semantic-segmentation-on-cityscapes-val | PSPNet-101 [20] | #4 | mIoU: 79.7 |
| video-semantic-segmentation-on-cityscapes-val | PSPNet-50 [20] | #5 | mIoU: 78.1 |