| Paper | Code | mIoU | ModelName | ReleaseDate |
|---|---|---|---|---|
| Interactive Learning of Intrinsic and Extrinsic Properties for All-day Semantic Segmentation | ✓ Link | 76.0 | AO-SegNet | 2023-07-07 |
| OneFormer: One Transformer to Rule Universal Image Segmentation | ✓ Link | 64.9 | OneFormer (DiNAT-L, multi-scale) | 2022-11-10 |
| Masked-attention Mask Transformer for Universal Image Segmentation | ✓ Link | 64.7 | Mask2Former (Swin-L, multiscale) | 2021-12-02 |
| Per-Pixel Classification is Not All You Need for Semantic Segmentation | ✓ Link | 55.4 | MaskFormer (ResNet-50) | 2021-07-13 |
| What's There in the Dark | ✓ Link | 48.32 | NiseNet | 2019-09-24 |
| MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation | ✓ Link | 44.93 | MRFP+(Ours) Resnet50 | 2023-11-30 |
| SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation | ✓ Link | 39.7 | SegBlocks-RN50 (t=0.4) | 2020-11-24 |
| MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation | ✓ Link | 32.93 | Resnet50 | 2023-11-30 |