| 2d-semantic-segmentation-on-wildscenes | Segformer (MiT-B5) | #5 | mIoU: 40.83 |
| crack-segmentation-on-crackvision12k | SegFormer | #4 | mIoU: 0.57969 |
| semantic-segmentation-on-ade20k | SegFormer-B5 | #89 | Validation mIoU: 51.8Params (M): 84.7 |
| semantic-segmentation-on-ade20k | SegFormer-B4 | #97 | Validation mIoU: 51.1Params (M): 64.1 |
| semantic-segmentation-on-ade20k | SegFormer-B0 | #215 | Validation mIoU: 37.4Params (M): 3.8 |
| semantic-segmentation-on-ade20k-val | SegFormer-B5(MS, 87M #Params, ImageNet-1K pretrain) | #43 | mIoU: 51.8 |
| semantic-segmentation-on-cityscapes | SegFormer (MiT-B5, Mapillary) | #17 | Mean IoU (class): 83.1% |
| semantic-segmentation-on-cityscapes-val | SegFormer (MiT-B5, Mapillary) | #19 | mIoU: 84.0 |
| semantic-segmentation-on-cityscapes-val | SegFormer-B0 | #93 | Validation mIoU: 76.2 |
| semantic-segmentation-on-dada-seg | SegFormer (MiT-B3) | #10 | mIoU: 27.0 |
| semantic-segmentation-on-dada-seg | SegFormer (MiT-B2) | #18 | mIoU: 21.2 |
| semantic-segmentation-on-dada-seg | SegFormer (MiT-B1) | #26 | mIoU: 16.6 |
| semantic-segmentation-on-ddd17 | SegFormer-B2 | #5 | mIoU: 71.05 |
| semantic-segmentation-on-deliver-1 | SegFormer | #9 | mIoU: 57.20 |
| semantic-segmentation-on-densepass | SegFormer (MiT-B2) | #12 | mIoU: 42.4% |
| semantic-segmentation-on-densepass | SegFormer (MiT-B1) | #16 | mIoU: 38.5% |
| semantic-segmentation-on-dsec | SegFormer-B2 | #4 | mIoU: 71.99 |
| semantic-segmentation-on-eventscape | SegFormer-B4 | #3 | mIoU: 59.86 |
| semantic-segmentation-on-eventscape | SegFormer-B2 | #4 | mIoU: 58.69 |
| semantic-segmentation-on-fine-grained-grass | SegFormer | #4 | mIoU: 48.29 |
| semantic-segmentation-on-potsdam | SegFormer-B2 | #3 | mIoU: 84.65 |
| semantic-segmentation-on-potsdam | SegFormer-B1 | #4 | mIoU: 84.37 |
| semantic-segmentation-on-potsdam | SegFormer-B0 | #7 | mIoU: 83.67 |
| semantic-segmentation-on-selma | SegFormer | #2 | mIoU: 77.2 |
| semantic-segmentation-on-spectralwaste | SegFormer (HYPER) | #3 | mIoU: 54.3 |
| semantic-segmentation-on-spectralwaste | SegFormer (HYPER3) | #4 | mIoU: 53.5 |
| semantic-segmentation-on-spectralwaste | SegFormer (RGB) | #5 | mIoU: 48.4 |
| semantic-segmentation-on-synpass | SegFomrer | #3 | mIoU: 37.24% |
| semantic-segmentation-on-synthetic-bathing | SegFormer | #4 | mIoU: 86.86 |
| semantic-segmentation-on-uplight | SegFormer-B2 (RGB) | #4 | mIoU: 89.60 |
| semantic-segmentation-on-urbanlf | SegFormer | #8 | mIoU (Syn): 78.53mIoU (Real): 82.20 |
| semantic-segmentation-on-us3d | SegFormer-B2 | #4 | mIoU: 75.14 |
| semantic-segmentation-on-us3d | SegFormer-B1 | #6 | mIoU: 74.19 |
| semantic-segmentation-on-us3d | SegFormer-B0 | #9 | mIoU: 71.80 |
| semantic-segmentation-on-vaihingen | SegFormer-B1 | #5 | mIoU: 76.92 |
| semantic-segmentation-on-vaihingen | SegFormer-B2 | #8 | mIoU: 76.69 |
| semantic-segmentation-on-vaihingen | SegFormer-B0 | #10 | mIoU: 75.57 |
| semantic-segmentation-on-zju-rgb-p | SegFormer-B2 (RGB) | #7 | mIoU: 89.6 |
| thermal-image-segmentation-on-mfn-dataset | SegFormer (B4) | #26 | mIOU: 54.8 |
| thermal-image-segmentation-on-mfn-dataset | SegFormer (B2) | #30 | mIOU: 53.2 |
| thermal-image-segmentation-on-rgb-t-glass | SegFormer | #9 | MAE: 0.053 |