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Semantic Segmentation

Papers

Showing 18011825 of 14763 papers

TitleStatusHype
Restore Anything Pipeline: Segment Anything Meets Image RestorationCode1
UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything ModelCode1
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology ImagesCode1
ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentationCode1
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic SegmentationCode1
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance SegmentationCode1
When SAM Meets Shadow DetectionCode1
JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded SystemsCode1
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel BenchmarkCode1
Explain Any Concept: Segment Anything Meets Concept-Based ExplanationCode1
Object Segmentation by Mining Cross-Modal SemanticsCode1
One-Prompt to Segment All Medical ImagesCode1
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion ModelCode1
Leaf Only SAM: A Segment Anything Pipeline for Zero-Shot Automated Leaf SegmentationCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
Component-aware anomaly detection framework for adjustable and logical industrial visual inspectionCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic SegmentationCode1
MaxViT-UNet: Multi-Axis Attention for Medical Image SegmentationCode1
GeNAS: Neural Architecture Search with Better GeneralizationCode1
Meta Omnium: A Benchmark for General-Purpose Learning-to-LearnCode1
MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion FeaturesCode1
Thermal Bridges on Building RooftopsCode1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
FreePoint: Unsupervised Point Cloud Instance 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