SOTAVerified

Image Segmentation

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

Papers

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Showing 2851–2900 of 5035 papers

TitleStatusHype
Using Diffusion Priors for Video Amodal Segmentation—0
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation—0
Using GANs to Augment Data for Cloud Image Segmentation Task—0
Using Soft Labels to Model Uncertainty in Medical Image Segmentation—0
Using the Split Bregman Algorithm to Solve the Self-repelling Snake Model—0
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions—0
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers—0
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation—0
Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images—0
Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation—0
Variational Image Segmentation Model Coupled with Image Restoration Achievements—0
Variational multichannel multiclass segmentation using unsupervised lifting with CNNs—0
Variational reaction-diffusion systems for semantic segmentation—0
Vehicle Image Generation Going Well with The Surroundings—0
A Comparative Analysis of U-Net-based models for Segmentation of Cardiac MRI—0
Versatile Multiple Choice Learning and Its Application to Vision Computing—0
Vertical Federated Image Segmentation—0
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents—0
VICE: Visual Identification and Correction of Neural Circuit Errors—0
VideoSAM: Open-World Video Segmentation—0
View2CAD: Reconstructing View-Centric CAD Models from Single RGB-D Scans—0
View Classification and Object Detection in Cardiac Ultrasound to Localize Valves via Deep Learning—0
NBV-SC: Next Best View Planning based on Shape Completion for Fruit Mapping and Reconstruction—0
Virtual organelle self-coding for fluorescence imaging via adversarial learning—0
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation—0
Vision Foundation Models in Medical Image Analysis: Advances and Challenges—0
Vision Transformers: State of the Art and Research Challenges—0
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing—0
Visualizing Loss Functions as Topological Landscape Profiles—0
Visual Saliency Based on Multiscale Deep Features—0
ViTBIS: Vision Transformer for Biomedical Image Segmentation—0
ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain—0
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation—0
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation—0
Volumetric Attention for 3D Medical Image Segmentation and Detection—0
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples—0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors—0
Voronoi Region-Based Adaptive Unsupervised Color Image Segmentation—0
VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation—0
VoteNet++: Registration Refinement for Multi-Atlas Segmentation—0
Voting Network for Contour Levee Farmland Segmentation and Classification—0
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation—0
Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation—0
VTBIS: Vision Transformer for Biomedical Image Segmentation—0
Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning—0
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking—0
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound—0
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation—0
Wavelet based inpainting detection—0
WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified