SOTAVerified

Semantic Segmentation

Papers

Showing 776800 of 14763 papers

TitleStatusHype
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image SegmentationCode1
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image SegmentationCode1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance SegmentationCode1
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene SegmentationCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode1
Cross-Domain Few-Shot Semantic SegmentationCode1
3D-UCaps: 3D Capsules Unet for Volumetric Image SegmentationCode1
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching TransformationCode1
CrOC: Cross-View Online Clustering for Dense Visual Representation LearningCode1
3D U^2-Net: A 3D Universal U-Net for Multi-Domain Medical Image SegmentationCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation TrackCode1
CRIS: CLIP-Driven Referring Image SegmentationCode1
Cross-Domain Ensemble Distillation for Domain GeneralizationCode1
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentationCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
3D-to-2D Distillation for Indoor Scene ParsingCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack DetectorsCode1
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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
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation 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