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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

Paper TitleRepository
SemPLeS (Swin-L)83.4Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
FMA-WSSS (Swin-L)82.6Foundation Model Assisted Weakly Supervised Semantic Segmentation
DHR (Swin-L, Mask2Former)82.3DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
CoSA (SWIN-B, multi-stage)81.4Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
WeakTr (ViT-S, multi-stage)78.4WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation
MARS (ResNet-101, multi-stage)77.7MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
WSSS-SAM(ResNet-101, multi-stage)77.2An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
CoSA (ViT-B, single-stage)76.4Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
QA-CLIMS75.6Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation
ISIM (ResNeSt-200)74.90ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation
RS+EPM (ResNet-101, multi-stage)74.4RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks
FBR74.2Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
WeakTr (DeiT-S, multi-stage)74.0WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation
CLIP-ES(DeepLabV2-ResNet101)73.8CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
BECO(DeepLabV3Plus+MiT-B2)73.7Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation-
T2MDiffusion(DeepLabV2-ResNet101)73.3From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
PPC (w/ EPS)72.3Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
RCA72.2Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
ORANDNet72.2Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation
BECO(DeepLabV3Plus+R101)72.1Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation-
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Weakly Supervised Semantic Segmentation On | SOTA | HyperAI超神经