SOTAVerified

Semantic Segmentation

Papers

Showing 50765100 of 14763 papers

TitleStatusHype
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts0
Active Image Segmentation Propagation0
DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction0
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks0
Deep Bayesian U-Nets for Efficient, Robust and Reliable Post-Disaster Damage Localization0
Automation of Hemocompatibility Analysis Using Image Segmentation and a Random Forest0
3D Registration for Self-Occluded Objects in Context0
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection0
Automating Sonologists USG Commands with AI and Voice Interface0
Deep Attention Unet: A Network Model with Global Feature Perception Ability0
All Attention U-NET for Semantic Segmentation of Intracranial Hemorrhages In Head CT Images0
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement0
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation0
Granular Generalized Variable Precision Rough Sets and Rational Approximations0
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images0
Deep Affinity Net: Instance Segmentation via Affinity0
Deep Active Learning for Multi-Label Classification of Remote Sensing Images0
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation0
Grapevine Winter Pruning Automation: On Potential Pruning Points Detection through 2D Plant Modeling using Grapevine Segmentation0
Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas0
Deep Active Contours Using Locally Controlled Distance Vector Flow0
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation0
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image0
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation0
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation0
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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