SOTAVerified

Semantic Segmentation

Papers

Showing 41014125 of 14763 papers

TitleStatusHype
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
OneNet: A Channel-Wise 1D Convolutional U-NetCode1
Adaptive Multi-source Predictor for Zero-shot Video Object SegmentationCode1
Focal-UNet: UNet-like Focal Modulation for Medical Image SegmentationCode1
DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive ArchitectureCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
Boundary-Enhanced Co-Training for Weakly Supervised Semantic SegmentationCode1
Domain Adaptive Semantic Segmentation without Source DataCode1
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image SegmentationCode1
You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene UnderstandingCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
DocSegTr: An Instance-Level End-to-End Document Image Segmentation TransformerCode1
Document-level Relation Extraction as Semantic SegmentationCode1
Boundary Guided Context Aggregation for Semantic SegmentationCode1
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic SegmentationCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
Boundary IoU: Improving Object-Centric Image Segmentation EvaluationCode1
Do text-free diffusion models learn discriminative visual representations?Code1
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image TranslationCode1
Boundary loss for highly unbalanced segmentationCode1
On Point Affiliation in Feature UpsamplingCode1
DOMINO: Domain-aware Model Calibration in Medical Image SegmentationCode1
Domain-Rectifying Adapter for Cross-Domain Few-Shot SegmentationCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical 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