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Semantic Segmentation

Papers

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Showing 7926–7950 of 14763 papers

TitleStatusHype
Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset—0
Deep GrabCut for Object Selection—0
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation—0
Introducing Hann windows for reducing edge-effects in patch-based image segmentation—0
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging—0
DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans—0
Introducing Geometry in Active Learning for Image Segmentation—0
Introducing Fuzzy Layers for Deep Learning—0
LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS—0
Deep Geodesic Learning for Segmentation and Anatomical Landmarking—0
A Local-Global Approach to Semantic Segmentation in Aerial Images—0
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation—0
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation—0
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection—0
A Local Active Contour Model for Image Segmentation with Intensity Inhomogeneity—0
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning—0
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation—0
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls—0
In the Era of Prompt Learning with Vision-Language Models—0
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy—0
Deep FusionNet for Point Cloud Semantic Segmentation—0
Lung image segmentation by generative adversarial networks—0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks—0
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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
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation 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