SOTAVerified

Semantic Segmentation

Papers

Showing 23512375 of 14763 papers

TitleStatusHype
Boundary-Aware Network for Kidney ParsingCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis DiagnosisCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
Refine and Represent: Region-to-Object Representation LearningCode1
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud UnderstandingCode1
Unbiased Multi-Modality Guidance for Image InpaintingCode1
Applying Eigencontours to PolarMask-Based Instance SegmentationCode1
Q-Net: Query-Informed Few-Shot Medical Image SegmentationCode1
Semi-supervised Semantic Segmentation with Mutual Knowledge DistillationCode1
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic SegmentationCode1
SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-MaximizationCode1
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic SegmentationCode1
InstanceFormer: An Online Video Instance Segmentation FrameworkCode1
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic SegmentationCode1
Persuasion Strategies in AdvertisementsCode1
Net2Brain: A Toolbox to compare artificial vision models with human brain responsesCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Open-Vocabulary Universal Image Segmentation with MaskCLIPCode1
Unifying Visual Perception by Dispersible Points LearningCode1
Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance SegmentationCode1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality AnnotationsCode1
FCN-Transformer Feature Fusion for Polyp SegmentationCode1
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memoryCode1
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual EnvironmentsCode1
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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