← Semi-Supervised Semantic Segmentation
평가 기록
과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.
표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.
| 모델 | 원본 지표·값 | 논문 | 구현 |
|---|---|---|---|
| ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pretrained) |
|
Bootstrapping Semantic Segmentation with Regional Contrast 2021-04-09 |
코드 1 · 코드 2 |
| Error Localization Network (DeeplabV3 with ResNet-101) |
|
Semi-supervised Semantic Segmentation with Error Localization Network 2022-04-05 |
코드 1 |
| Error Localization Network (DeeplabV3 with ResNet-50) |
|
Semi-supervised Semantic Segmentation with Error Localization Network 2022-04-05 |
코드 1 |
| SemiSegContrast (DeepLab v2 with ResNet-101 backbone, MSCOCO pretrained) |
|
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank 2021-04-27 |
코드 1 |
| DMT (DeepLab v2 MSCOCO/ImageNet pre-trained) |
|
DMT: Dynamic Mutual Training for Semi-Supervised Learning 2020-04-18 |
코드 1 |
| CutMix (DeepLab v3+ ImageNet pre-trained) |
|
Semi-supervised semantic segmentation needs strong, varied perturbations 2019-06-05 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| GIST and RIST (DeepLabv2 with ResNet101, MSCOCO pre-trained) |
|
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation 2021-03-31 |
연결 없음 |
| ReCo (DeepLab v2 with ResNet-101 backbone, ImageNet pretrained) |
|
Bootstrapping Semantic Segmentation with Regional Contrast 2021-04-09 |
코드 1 · 코드 2 |
| ClassMix (DeepLab v2 MSCOCO pretrained) |
|
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning 2020-07-15 |
코드 1 · 코드 2 |
| s4GAN + MLMT (DeepLab v2 MSCOCO/ImageNet pre-trained) |
|
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency 2019-08-15 |
코드 1 |
| s4GAN+MLMT (DeepLab v3+ ImageNet pre-trained) |
|
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency 2019-08-15 |
코드 1 |
| CutMix (DeepLab v2 ImageNet pre-trained) |
|
Semi-supervised semantic segmentation needs strong, varied perturbations 2019-06-05 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| s4GAN+MLMT (DeepLab v2 ImageNet pre-trained) |
|
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency 2019-08-15 |
코드 1 |
| Adversarial (DeepLab v2 ImageNet pre-trained) |
|
Adversarial Learning for Semi-Supervised Semantic Segmentation 2018-02-22 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 |