SOTAVerified

Semantic Segmentation

Papers

Showing 17511775 of 14763 papers

TitleStatusHype
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road ExtractionCode1
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural DomainCode1
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image SegmentationCode1
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Towards Label-free Scene Understanding by Vision Foundation ModelsCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Instructive Feature Enhancement for Dichotomous Medical Image SegmentationCode1
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
Asymmetric Patch Sampling for Contrastive LearningCode1
3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPWCode1
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image SegmentationCode1
Balancing Logit Variation for Long-tailed Semantic SegmentationCode1
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision TransformersCode1
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast LearningCode1
Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional ApproachCode1
Towards In-context Scene UnderstandingCode1
Robust T-Loss for Medical Image SegmentationCode1
Geo-Tiles for Semantic Segmentation of Earth Observation ImageryCode1
S^2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp 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