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SOTA
弱监督语义分割
Weakly Supervised Semantic Segmentation On 1
Weakly Supervised Semantic Segmentation On 1
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
Columns
模型名称
Mean IoU
Paper Title
Repository
SemPLeS (Swin-L)
82.9
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
DHR (Swin-L, Mask2Former)
82.3
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
FMA-WSSS (Swin-L)
81.6
Foundation Model Assisted Weakly Supervised Semantic Segmentation
WeakTr (ViT-S, multi-stage)
79.0
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation
MARS (ResNet-101, multi-stage)
77.2
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
WSSS-SAM(DeepLabV2-ResNet101)
77.1
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
QA-CLIMS
75.5
Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation
ISIM (ResNeSt-200)
74.98
ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation
FBR
74.9
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
HSC
74.5
Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation
-
T2MDiffusion(DeepLabV2-ResNet101)
74.2
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
WeakTr (DeiT-S, multi-stage)
74.1
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation
CLIP-ES(DeepLabV2-ResNet101)
73.9
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
RS+EPM (ResNet-101, multi-stage)
73.6
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks
BECO(DeepLabV3Plus+MiT-B2)
73.5
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
-
PPC (w/ EPS)
73.5
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
L2G (ResNet101, DeepLab-LargeFOV)
73.0
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
ORANDNet
72.9
Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation
RCA
72.8
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
SFC(ResNet-101)
72.5
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation
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