| SemiOVS (w/ PrevMatch, ResNet-101) |
- Validation mIoU
- 81.3
|
Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model 2025-07-04 |
코드 1 |
| Dual Teacher |
- Validation mIoU
- 81.03
|
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation 2023-09-21 |
코드 1 |
| SemiOVS (w/ UniMatch, ResNet-101) |
- Validation mIoU
- 81.0
|
Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model 2025-07-04 |
코드 1 |
| AllSpark |
- Validation mIoU
- 80.92
|
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation 2024-03-04 |
코드 1 |
| CorrMatch (Deeplabv3+ with ResNet-101) |
- Validation mIoU
- 80.9
|
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation 2023-06-07 |
코드 1 |
| PrevMatch (ResNet-101) |
- Validation mIoU
- 80.8
|
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation 2024-05-31 |
코드 1 |
| PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) |
- Validation mIoU
- 80.78
|
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization 2022-10-10 |
코드 1 |
| UniMatch (DeepLab v3+ with ResNet-101) |
- Validation mIoU
- 80.43
|
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation 2022-08-21 |
코드 1 |
| S4MC |
- Validation mIoU
- 79.85
|
Semi-Supervised Semantic Segmentation via Marginal Contextual Information 2023-08-26 |
코드 1 |
| U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix) |
- Validation mIoU
- 79.3
|
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels 2022-03-08 |
코드 1 |
| FARCLUSS |
- Validation mIoU
- 79.0
|
FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation 2025-06-11 |
코드 1 |
| n-CPS (ResNet-101) |
- Validation mIoU
- 78.97
|
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation 2021-12-14 |
연결 없음 |
| PS-MT
(DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) |
- Validation mIoU
- 78.72
|
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation 2021-11-25 |
코드 1 |
| AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) |
- Validation mIoU
- 78.06
|
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning 2021-10-11 |
코드 1 |
| GuidedMix-Net(DeepLab v2 with ResNet101, input-size: 512x512 with multi-scale and flip, ImageNet pretrained) |
- Validation mIoU
- 77.8%
|
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference 2021-06-29 |
코드 1 |
| CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) |
- Validation mIoU
- 77.68%
|
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision 2021-06-02 |
코드 1 · 코드 2 · 코드 3 |
| CPCL (DeepLab v3+ with ResNet-101) |
- Validation mIoU
- 77.16
|
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation 2022-11-30 |
코드 1 |
| Error Localization Network (DeeplabV3 with ResNet-101) |
- Validation mIoU
- 76.58%
|
Semi-supervised Semantic Segmentation with Error Localization Network 2022-04-05 |
코드 1 |
| PCT (DeepLab v3+ with ResNet-50 pretrained on ImageNet-1K) |
- Validation mIoU
- 76.47
|
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic Segmentation 2022-08-02 |
코드 1 |
| CW-BASS (DeepLab v3+ with ResNet-50) |
- Validation mIoU
- 76.2
|
Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation 2025-02-21 |
코드 1 |
| n-CPS (ResNet-50) |
- Validation mIoU
- 75.85
|
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation 2021-12-14 |
연결 없음 |
| GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained) |
- Validation mIoU
- 75.5%
|
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference 2021-06-29 |
코드 1 |
| Error Localization Network (DeeplabV3 with ResNet-50) |
- Validation mIoU
- 74.63%
|
Semi-supervised Semantic Segmentation with Error Localization Network 2022-04-05 |
코드 1 |
| CPCL (DeepLab v3+ with ResNet-50) |
- Validation mIoU
- 74.58
|
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation 2022-11-30 |
코드 1 |
| ClassMix (DeepLab v2 MSCOCO pretrained) |
- Validation mIoU
- 72.45
|
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning 2020-07-15 |
코드 1 · 코드 2 |
| Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) |
- Validation mIoU
- 72.04
|
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks 2022-10-18 |
코드 1 |
| Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) |
- Validation mIoU
- 69.02
|
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks 2022-10-18 |
코드 1 |