SOTAVerified

Semantic Segmentation

Papers

Showing 826850 of 14763 papers

TitleStatusHype
Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic ImagesCode1
Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image SegmentationCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image SegmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationCode1
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image SegmentationCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentationCode1
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Cross-Domain Few-Shot Semantic SegmentationCode1
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point CloudsCode1
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching TransformationCode1
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021Code1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Cross-Domain Ensemble Distillation for Domain GeneralizationCode1
Cross-Layer Retrospective Retrieving via Layer AttentionCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack DetectorsCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
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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