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 2401–2450 of 5035 papers

TitleStatusHype
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentationCode0
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration—0
Re-initialization-free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation—0
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds—0
Virtual Augmented Reality for Atari Reinforcement LearningCode0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors—0
S4C: Self-Supervised Semantic Scene Completion with Neural Fields—0
ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain—0
Empirical Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation—0
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform—0
Detecting Abnormal Health Conditions in Smart Home Using a Drone—0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
TransCC: Transformer Network for Coronary Artery CCTA Segmentation—0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator—0
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery—0
Certification of Deep Learning Models for Medical Image SegmentationCode0
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation—0
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models—0
OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation—0
Randomized Dimension Reduction with Statistical Guarantees—0
Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit with internal disorders—0
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation—0
A quantum segmentation algorithm based on local adaptive threshold for NEQR image—0
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
A simple thinking about the application of the attention mechanism in medical ultrasound image segmentation taskCode0
Quantum Image Segmentation Based on Grayscale Morphology—0
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation—0
STARS: Zero-shot Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery—0
Propagating Semantic Labels in Video Data—0
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology—0
A Foundation Model for General Moving Object Segmentation in Medical ImagesCode0
Towards Complex-query Referring Image Segmentation: A Novel Benchmark—0
Uncertainty Quantification for Eosinophil Segmentation—0
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation—0
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection—0
Voting Network for Contour Levee Farmland Segmentation and Classification—0
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation—0
Free Discontinuity Regression: With an Application to the Economic Effects of Internet ShutdownsCode0
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation—0
FP-PET: Large Model, Multiple Loss And Focused Practice—0
Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning—0
Performance Analysis of UNet and Variants for Medical Image Segmentation—0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal—0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
A Vision-Based Navigation System for Arable Fields—0
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-trainingCode0
More complex encoder is not all you needCode0
Multi-grained Temporal Prototype Learning for Few-shot Video Object SegmentationCode0
3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images—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