SOTAVerified

Semantic Segmentation

Papers

Showing 161170 of 14763 papers

TitleStatusHype
XCiT: Cross-Covariance Image TransformersCode3
Vision Transformers for Dense PredictionCode3
UNETR: Transformers for 3D Medical Image SegmentationCode3
MA-Net: A Multi-Scale Attention Network for Liver and Tumor SegmentationCode3
ResNeSt: Split-Attention NetworksCode3
FDA: Fourier Domain Adaptation for Semantic SegmentationCode3
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature TransformCode3
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation BoosterCode2
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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