SOTAVerified

Semantic Segmentation

Papers

Showing 32013210 of 14763 papers

TitleStatusHype
Decoupling Zero-Shot Semantic SegmentationCode1
CTNet: Context-based Tandem Network for Semantic SegmentationCode1
Interactive 3D Medical Image Segmentation with SAM 2Code1
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentationCode1
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentationCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
Learning What to Learn for Video Object SegmentationCode1
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural DomainCode1
Hierarchical Dense Correlation Distillation for Few-Shot SegmentationCode1
Learning Video Object Segmentation from Unlabeled VideosCode1
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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