| Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model | ✓ Link | 81.3 | SemiOVS (w/ PrevMatch, ResNet-101) | 2025-07-04 |
| Switching Temporary Teachers for Semi-Supervised Semantic Segmentation | ✓ Link | 81.03 | Dual Teacher | 2023-09-21 |
| Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model | ✓ Link | 81.0 | SemiOVS (w/ UniMatch, ResNet-101) | 2025-07-04 |
| AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation | ✓ Link | 80.92 | AllSpark | 2024-03-04 |
| CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation | ✓ Link | 80.9 | CorrMatch (Deeplabv3+ with ResNet-101) | 2023-06-07 |
| Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation | ✓ Link | 80.8 | PrevMatch (ResNet-101) | 2024-05-31 |
| Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization | ✓ Link | 80.78 | PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | 2022-10-10 |
| Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation | ✓ Link | 80.43 | UniMatch (DeepLab v3+ with ResNet-101) | 2022-08-21 |
| Semi-Supervised Semantic Segmentation via Marginal Contextual Information | ✓ Link | 79.85 | S4MC | 2023-08-26 |
| Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels | ✓ Link | 79.3 | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix) | 2022-03-08 |
| FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation | ✓ Link | 79.0 | FARCLUSS | 2025-06-11 |
| n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation | | 78.97 | n-CPS (ResNet-101) | 2021-12-14 |
| Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation | ✓ Link | 78.72 | PS-MT
(DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | 2021-11-25 |
| Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning | ✓ Link | 78.06 | AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | 2021-10-11 |
| GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference | ✓ Link | 77.8% | GuidedMix-Net(DeepLab v2 with ResNet101, input-size: 512x512 with multi-scale and flip, ImageNet pretrained) | 2021-06-29 |
| Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision | ✓ Link | 77.68% | CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | 2021-06-02 |
| Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation | ✓ Link | 77.16 | CPCL (DeepLab v3+ with ResNet-101) | 2022-11-30 |
| Semi-supervised Semantic Segmentation with Error Localization Network | ✓ Link | 76.58% | Error Localization Network (DeeplabV3 with ResNet-101) | 2022-04-05 |
| Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic Segmentation | ✓ Link | 76.47 | PCT (DeepLab v3+ with ResNet-50 pretrained on ImageNet-1K) | 2022-08-02 |
| Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation | ✓ Link | 76.2 | CW-BASS (DeepLab v3+ with ResNet-50) | 2025-02-21 |
| n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation | | 75.85 | n-CPS (ResNet-50) | 2021-12-14 |
| GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference | ✓ Link | 75.5% | GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained) | 2021-06-29 |
| Semi-supervised Semantic Segmentation with Error Localization Network | ✓ Link | 74.63% | Error Localization Network (DeeplabV3 with ResNet-50) | 2022-04-05 |
| Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation | ✓ Link | 74.58 | CPCL (DeepLab v3+ with ResNet-50) | 2022-11-30 |
| ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning | ✓ Link | 72.45 | ClassMix (DeepLab v2 MSCOCO pretrained) | 2020-07-15 |
| Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks | ✓ Link | 72.04 | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | 2022-10-18 |
| Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks | ✓ Link | 69.02 | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | 2022-10-18 |