SOTAVerified

Semantic Segmentation

Papers

Showing 24262450 of 14763 papers

TitleStatusHype
Learning Topological Interactions for Multi-Class Medical Image SegmentationCode1
Latent Discriminant deterministic UncertaintyCode1
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
Estimating Model Performance under Domain Shifts with Class-Specific Confidence ScoresCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
The Dice loss in the context of missing or empty labels: Introducing Φ and εCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Hierarchical Feature Alignment Network for Unsupervised Video Object SegmentationCode1
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot SegmentationCode1
A hierarchical semantic segmentation framework for computer vision-based bridge damage detectionCode1
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationCode1
Learning Quality-aware Dynamic Memory for Video Object SegmentationCode1
Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationCode1
3D Instances as 1D KernelsCode1
Bootstrapped Masked Autoencoders for Vision BERT PretrainingCode1
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationCode1
GeoSegNet: Point Cloud Semantic Segmentation via Geometric Encoder-Decoder ModelingCode1
Tackling Background Distraction in Video Object SegmentationCode1
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse ConditionsCode1
PointNorm: Dual Normalization is All You Need for Point Cloud AnalysisCode1
ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkCode1
Teachers in concordance for pseudo-labeling of 3D sequential dataCode1
LightViT: Towards Light-Weight Convolution-Free Vision TransformersCode1
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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