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Semi Supervised Semantic Segmentation On 3

Metrics

Validation mIoU

Results

Performance results of various models on this benchmark

Paper Title
SemiVL (ViT-B/16)76.2SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
UniMatch (DeepLab v3+ with ResNet-101)73.0Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
CW-BASS (DeepLab v3+ with ResNet-50)65.87CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
SemiSegContrast (DeepLab v3+ with ResNet-50 backbone, MSCOCO pretrained)64.9%Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
SegSDE (MTL decoder with ResNet101, ImageNet pretrained, unlabeled image sequences)62.09%Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation
ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pretrained)60.28%Bootstrapping Semantic Segmentation with Regional Contrast
SemiSegContrast (DeepLab v2 with ResNet-101 backbone, MSCOCO pretrained)59.4%Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
GIST and RIST (DeepLabv2 with ResNet101, MSCOCO pre-trained)58.70%The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained)56.9%GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
ReCo (DeepLab v2 with ResNet-101 backbone, ImageNet pretrained)56.53%Bootstrapping Semantic Segmentation with Regional Contrast
DMT (DeepLab v2 MSCOCO/ImageNet pre-trained)54.80%DMT: Dynamic Mutual Training for Semi-Supervised Learning
ClassMix (DeepLab v2 MSCOCO pretrained)54.07%ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
CutMix (DeepLab v2, ImageNet pre-trained)51.2Semi-supervised semantic segmentation needs strong, varied perturbations
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Semi Supervised Semantic Segmentation On 3 | SOTA | HyperAI