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Semantic Segmentation

Papers

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Showing 9451–9500 of 14763 papers

TitleStatusHype
Multi-dimensional Parametric Mincuts for Constrained MAP Inference—0
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation—0
Unsupervised learning of foreground object detection—0
Multi-Depth Fusion Network for Whole-Heart CT Image Segmentation—0
MESA: Matching Everything by Segmenting Anything—0
Multi-dataset synergistic in supervised learning to pre-label structural components in point clouds from shell construction scenes—0
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation—0
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting—0
Merging Tasks for Video Panoptic Segmentation—0
MeNToS: Tracklets Association with a Space-Time Memory Network—0
Memory transformers for full context and high-resolution 3D Medical Segmentation—0
Multicuts and Perturb & MAP for Probabilistic Graph Clustering—0
Winograd Convolution for Deep Neural Networks: Efficient Point Selection—0
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images—0
Unsupervised Multi-Class Joint Image Segmentation—0
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation—0
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns—0
Multi-Contrast MRI Segmentation Trained on Synthetic Images—0
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation—0
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages—0
Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation—0
Multiclass Semantic Video Segmentation With Object-Level Active Inference—0
Unsupervised object segmentation in video by efficient selection of highly probable positive features—0
Unsupervised Object Segmentation with Explicit Localization Module—0
WinSyn: : A High Resolution Testbed for Synthetic Data—0
Win-Win: Training High-Resolution Vision Transformers from Two Windows—0
Unsupervised Part Segmentation through Disentangling Appearance and Shape—0
Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means—0
Unsupervised Pre-Training for 3D Leaf Instance Segmentation—0
Wireless End-to-End Image Transmission System using Semantic Communications—0
Unsupervised Recognition of Informative Features via Tensor Network Machine Learning and Quantum Entanglement Variations—0
Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence—0
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data—0
Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments—0
Unsupervised RGBD Video Object Segmentation Using GANs—0
Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease—0
Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks—0
Multiclass Segmentation using Teeth Attention Modules for Dental X-ray Images—0
Unsupervised Segmentation by Diffusing, Walking and Cutting—0
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks—0
Multi-Class Segmentation of Heterogeneous Areas in Biomedical and Environmental Images Based on the Assessment of Local Edge Density—0
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning—0
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing—0
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy—0
Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks—0
Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks—0
Wireless Transmission of Images With The Assistance of Multi-level Semantic Information—0
Reducing Label Dependency for Underwater Scene Understanding: A Survey of Datasets, Techniques and Applications—0
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations—0
Unsupervised semantic segmentation of urban high-density multispectral point clouds—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified