Semi Supervised Semantic Segmentation On 41

Validation mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

		Paper Title
UniMatch V2	45.0	UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
SemiVL	35.1	SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
AEL	28.4	Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
UniMatch	28.1	Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
CutMix	26.2	Semi-supervised semantic segmentation needs strong, varied perturbations

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