SOTAVerified

Semantic Segmentation

Papers

Showing 20262050 of 14763 papers

TitleStatusHype
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic ParsingCode1
Lightweight and Progressively-Scalable Networks for Semantic SegmentationCode1
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic SegmentationCode1
Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNNCode1
Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasoundCode1
Linguistic Structure Guided Context Modeling for Referring Image SegmentationCode1
LinK: Linear Kernel for LiDAR-based 3D PerceptionCode1
Class Tokens Infusion for Weakly Supervised Semantic SegmentationCode1
DIDFuse: Deep Image Decomposition for Infrared and Visible Image FusionCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
A Review of Panoptic Segmentation for Mobile Mapping Point CloudsCode1
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object SegmentationCode1
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote SensingCode1
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequencesCode1
LM-Net: A Light-weight and Multi-scale Network for Medical Image SegmentationCode1
DifFSS: Diffusion Model for Few-Shot Semantic SegmentationCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
An Elastic Interaction-Based Loss Function for Medical Image SegmentationCode1
Boundary-Aware Network for Kidney ParsingCode1
DSU-Net:An Improved U-Net Model Based on DINOv2 and SAM2 with Multi-scale Cross-model Feature EnhancementCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic 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
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation 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