SOTAVerified

Semantic Segmentation

Papers

Showing 24762500 of 14763 papers

TitleStatusHype
Federated nnU-Net for Privacy-Preserving Medical Image SegmentationCode1
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image SegmentationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
Few-Shot Medical Image Segmentation with High-Fidelity PrototypesCode1
Few-Shot Panoptic Segmentation With Foundation ModelsCode1
Few-Shot Segmentation via Cycle-Consistent TransformerCode1
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural NetworksCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous DrivingCode1
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic SegmentationCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
Dynamic Graph CNN for Learning on Point CloudsCode1
Dirichlet-based Uncertainty Calibration for Active Domain AdaptationCode1
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative ModelsCode1
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event CamerasCode1
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and ApplicationsCode1
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor ScenesCode1
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data AugmentationCode1
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsCode1
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIPCode1
Discovering Object Masks with Transformers for Unsupervised Semantic SegmentationCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic SegmentationCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified