| dichotomous-image-segmentation-on-dis-te1 | BSV1 | #22 | max F-Measure: 0.595weighted F-measure: 0.474MAE: 0.108… |
| dichotomous-image-segmentation-on-dis-te2 | BSV1 | #21 | max F-Measure: 0.680weighted F-measure: 0.564MAE: 0.111… |
| dichotomous-image-segmentation-on-dis-te3 | BSV1 | #21 | max F-Measure: 0.710weighted F-measure: 0.595MAE: 0.109… |
| dichotomous-image-segmentation-on-dis-te4 | BSV1 | #20 | max F-Measure: 0.710weighted F-measure: 0.598MAE: 0.114… |
| dichotomous-image-segmentation-on-dis-vd | BSV1 | #22 | max F-Measure: 0.662weighted F-measure: 0.548MAE: 0.116… |
| real-time-semantic-segmentation-on-camvid | BiSeNet | #22 | mIoU: 68.7% |
| real-time-semantic-segmentation-on-cityscapes | BiSeNet(ResNet-18) | #18 | mIoU: 74.7%Frame (fps): 65.5Time (ms): 15.2 |
| real-time-semantic-segmentation-on-cityscapes | BiSeNet | #19 | mIoU: 74.7%Frame (fps): 65.5 |
| real-time-semantic-segmentation-on-cityscapes | BiSeNet(Xception39) | #31 | mIoU: 68.4%Frame (fps): 105.8Time (ms): 9.5 |
| semantic-segmentation-on-bdd100k-val | BiSeNet-V1(ResNet-18) | #15 | mIoU: 53.8(45.1fps) |
| semantic-segmentation-on-camvid | BiSeNet | #8 | Mean IoU: 68.7% |
| semantic-segmentation-on-cityscapes | BiSeNet (ResNet-101) | #53 | Mean IoU (class): 78.9% |
| semantic-segmentation-on-skyscapes-dense-1 | BiSeNet (ResNet-50) | #3 | Mean IoU: 30.82 |
| semantic-segmentation-on-trans10k | BiSeNet | #12 | mIoU: 58.40%GFLOPs: 19.91 |