SOTAVerified

Semantic Segmentation

Papers

Showing 23012325 of 14763 papers

TitleStatusHype
CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM0
Unsupervised Fault Detection using SAM with a Moving Window Approach0
Leveraging image captions for selective whole slide image annotationCode0
High-Throughput Phenotyping using Computer Vision and Machine LearningCode0
Swin UNETR segmentation with automated geometry filtering for biomechanical modeling of knee joint cartilage0
Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts0
Training-free CryoET Tomogram SegmentationCode2
Submodular video object proposal selection for semantic object segmentation0
CaRe-Ego: Contact-aware Relationship Modeling for Egocentric Interactive Hand-object SegmentationCode1
Non-parametric Contextual Relationship Learning for Semantic Video Object Segmentation0
Context Propagation from Proposals for Semantic Video Object Segmentation0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation0
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile RobotsCode0
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models0
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image SegmentationCode1
Semantic Segmentation for Real-World and Synthetic Vehicle's Forward-Facing Camera Images0
Self-Paced Sample Selection for Barely-Supervised Medical Image SegmentationCode0
BlessemFlood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support0
Test-time Contrastive Concepts for Open-world Semantic Segmentation0
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation0
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation0
HCS-TNAS: Hybrid Constraint-driven Semi-supervised Transformer-NAS for Ultrasound Image Segmentation0
LMSeg: A deep graph message-passing network for efficient and accurate semantic segmentation of large-scale 3D landscape meshes0
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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