SOTAVerified

Semantic Segmentation

Papers

Showing 21262150 of 14763 papers

TitleStatusHype
Boundary-Enhanced Co-Training for Weakly Supervised Semantic SegmentationCode1
Disjoint Masking with Joint Distillation for Efficient Masked Image ModelingCode1
PanDepth: Joint Panoptic Segmentation and Depth CompletionCode1
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object SegmentationCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
Artificial Pupil Dilation for Data Augmentation in Iris Semantic SegmentationCode1
Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point CloudsCode1
A Close Look at Spatial Modeling: From Attention to ConvolutionCode1
On Calibrating Semantic Segmentation Models: Analyses and An AlgorithmCode1
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor EnvironmentsCode1
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth EstimationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
Masked Event Modeling: Self-Supervised Pretraining for Event CamerasCode1
Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation FrameworkCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Segmentation Ability Map: Interpret deep features for medical image segmentationCode1
Focal-UNet: UNet-like Focal Modulation for Medical Image SegmentationCode1
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain GeneralizationCode1
Context Label Learning: Improving Background Class Representations in Semantic SegmentationCode1
FlexiViT: One Model for All Patch SizesCode1
Unsupervised Object Localization: Observing the Background to Discover ObjectsCode1
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance SegmentationCode1
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group PropagationCode1
DeepCut: Unsupervised Segmentation using Graph Neural Networks ClusteringCode1
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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