| Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning | ✓ Link | 46.97 | MMUDA | 2022-03-19 |
| Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance | ✓ Link | 39.20 | Trans4Trans | 2021-08-20 |
| Exploring Event-driven Dynamic Context for Accident Scene Segmentation | ✓ Link | 32.04 | EDCNet | 2021-12-09 |
| Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers | ✓ Link | 31.8 | SETR (PUP, Transformer-Large) | 2020-12-31 |
| Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers | ✓ Link | 30.4 | SETR (MLA, Transformer-Large) | 2020-12-31 |
| ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data | ✓ Link | 29.97 | ISSAFE | 2020-08-20 |
| Bidirectional Learning for Domain Adaptation of Semantic Segmentation | ✓ Link | 29.66 | BDL | 2019-04-24 |
| Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation | ✓ Link | 28.76 | CLAN | 2018-09-25 |
| Deep High-Resolution Representation Learning for Visual Recognition | ✓ Link | 27.5 | HRNet (ACDC) | 2019-08-20 |
| SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers | ✓ Link | 27.0 | SegFormer (MiT-B3) | 2021-05-31 |
| Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation | ✓ Link | 26.85 | SIM | 2020-03-18 |
| Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation | ✓ Link | 26.8 | DeepLabV3+ (ACDC) | 2018-02-07 |
| Fast-SCNN: Fast Semantic Segmentation Network | ✓ Link | 26.32 | Fast-SCNN | 2019-02-12 |
| Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention | ✓ Link | 25.16 | Lawin Transformer | 2022-01-05 |
| FDA: Fourier Domain Adaptation for Semantic Segmentation | ✓ Link | 24.45 | FDA | 2020-04-11 |
| Deep Residual Learning for Image Recognition | ✓ Link | 23.60 | ResNet-101 | 2015-12-10 |
| Dual Attention Network for Scene Segmentation | ✓ Link | 22.24 | DANet | 2018-09-09 |
| SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers | ✓ Link | 21.2 | SegFormer (MiT-B2) | 2021-05-31 |
| In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images | ✓ Link | 20.5 | SwiftNet (ResNet-18) | 2019-03-20 |
| Pyramid Scene Parsing Network | ✓ Link | 20.1 | PSPNet (ResNet-101) | 2016-12-04 |
| ResNeSt: Split-Attention Networks | ✓ Link | 19.99 | ResNeSt (ResNeSt-101) | 2020-04-19 |
| Disentangled Non-Local Neural Networks | ✓ Link | 19.7 | DNL (ResNet-101) | 2020-06-11 |
| Panoptic Feature Pyramid Networks | ✓ Link | 19.59 | Semantic FPN (ResNet-101) | 2019-01-08 |
| Deep Residual Learning for Image Recognition | ✓ Link | 18.96 | ResNet-50 | 2015-12-10 |
| Searching for MobileNetV3 | ✓ Link | 18.2 | MobileNetV3 (MobileNetV3small) | 2019-05-06 |
| SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers | ✓ Link | 16.6 | SegFormer (MiT-B1) | 2021-05-31 |
| MobileNetV2: Inverted Residuals and Linear Bottlenecks | ✓ Link | 16.05 | MobileNetV2 | 2018-01-13 |
| ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation | ✓ Link | 9.0 | ERFNet | 2017-10-09 |