SOTAVerified

Semantic Segmentation

Papers

Showing 30513060 of 14763 papers

TitleStatusHype
Clustering Propagation for Universal Medical Image SegmentationCode1
ChebMixer: Efficient Graph Representation Learning with MLP Mixer0
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation0
TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationCode2
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging0
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentationCode0
Segment Anything Model for Road Network Graph ExtractionCode3
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D ScansCode1
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System0
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images0
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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