← 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 |
|---|---|---|---|
| SemiVL (ViT-B/16) |
|
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance 2023-11-27 |
코드 1 |
| UniMatch (DeepLab v3+ with ResNet-101) |
|
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation 2022-08-21 |
코드 1 |
| CW-BASS (DeepLab v3+ with ResNet-50) |
|
Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation 2025-02-21 |
코드 1 |
| SemiSegContrast (DeepLab v3+ with ResNet-50 backbone, MSCOCO pretrained) |
|
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank 2021-04-27 |
코드 1 |
| SegSDE (MTL decoder with ResNet101, ImageNet pretrained, unlabeled image sequences) |
|
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation 2020-12-19 |
코드 1 |
| ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pretrained) |
|
Bootstrapping Semantic Segmentation with Regional Contrast 2021-04-09 |
코드 1 · 코드 2 |
| 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 |
| 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 |
| GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained) |
|
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference 2021-06-29 |
코드 1 |
| ReCo (DeepLab v2 with ResNet-101 backbone, ImageNet pretrained) |
|
Bootstrapping Semantic Segmentation with Regional Contrast 2021-04-09 |
코드 1 · 코드 2 |
| DMT (DeepLab v2 MSCOCO/ImageNet pre-trained) |
|
DMT: Dynamic Mutual Training for Semi-Supervised Learning 2020-04-18 |
코드 1 |
| ClassMix (DeepLab v2 MSCOCO pretrained) |
|
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning 2020-07-15 |
코드 1 · 코드 2 |
| 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 |