HyperAI超神经

Weakly Supervised Semantic Segmentation On

评估指标

Mean IoU

评测结果

各个模型在此基准测试上的表现结果

模型名称
Mean IoU
Paper TitleRepository
SIPE (DeepLabV2-ResNet101, no saliency)68.8Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
PMM(ResNet38)68.5Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
LIID (ResNet-101)66.5Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
URN(ResNet-38, no saliency, no RW)69.4Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
LIID (Res2Net-101)69.4Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
AMN (DeepLabV2-ResNet101)69.5Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
URN(ScaleNet-101, no saliency, no RW)70.1Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
SEAM+CONTA66.1Causal Intervention for Weakly-Supervised Semantic Segmentation
ISIM (ResNet-101)70.51ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation
LIID (ResNet-101, +24K SI)67.8Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
WeakTr (DeiT-S, multi-stage)74.0WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation
ResNet-10166.2Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
SGAN67.1Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation
ACR-WSSS(DeepLabV1-ResNet101)71.2All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation
Infer-CAM(DeepLabV2-ResNet101)70.8Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation
PMM(ResNet38, no saliency, no RW)68.5Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
SemPLeS (Swin-L)83.4Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
VWL-L70.6Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling
PMM(Res2Net101, no saliency, no RW)70.0Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
OC-CSE(ResNet38,no saliency)68.4Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation
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