SOTAVerified

Semantic Segmentation

Papers

Showing 33013310 of 14763 papers

TitleStatusHype
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image SegmentationCode1
Effective Self-supervised Pre-training on Low-compute Networks without DistillationCode1
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale PerceptionCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image SegmentationCode1
ProtoSAM: One-Shot Medical Image Segmentation With Foundational ModelsCode1
A Large-Scale Network Construction and Lightweighting Method for Point Cloud Semantic SegmentationCode1
Prototype Knowledge Distillation for Medical Segmentation with Missing ModalityCode1
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain AdaptationCode1
Effective semantic segmentation in Cataract Surgery: What matters most?Code1
Show:102550
← PrevPage 331 of 1477Next →

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