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 1751–1800 of 5035 papers

TitleStatusHype
SAM-Med2DCode3
Software multiplataforma para a segmentação de vasos sanguíneos em imagens da retina—0
Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy DataCode0
Shatter and Gather: Learning Referring Image Segmentation with Text SupervisionCode1
Pseudo-Boolean Polynomials Approach To Edge Detection And Image Segmentation—0
Abdominal Multi-Organ Segmentation Based on Feature Pyramid Network and Spatial Recurrent Neural Network—0
Multilayer Multiset Neuronal Networks -- MMNNs—0
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance—0
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ SegmentationCode0
Referring Image Segmentation Using Text SupervisionCode1
Local-Global Pseudo-label Correction for Source-free Domain Adaptive Medical Image Segmentation—0
Superpixels algorithms through network community detectionCode0
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars—0
Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene InvestigationCode0
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay—0
Beyond One-to-One: Rethinking the Referring Image SegmentationCode1
Transfer Learning for Microstructure Segmentation with CS-UNet: A Hybrid Algorithm with Transformer and CNN EncodersCode1
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation—0
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation—0
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image SegmentationCode1
ACC-UNet: A Completely Convolutional UNet model for the 2020sCode1
An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation—0
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in TransformersCode1
Panoptic-Depth Color Map for Combination of Depth and Image Segmentation—0
Tumor-Centered Patching for Enhanced Medical Image Segmentation—0
SPPNet: A Single-Point Prompt Network for Nuclei Image SegmentationCode1
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image SegmentationCode1
Segment Anything for Microscopy—0
Semantic RGB-D Image Synthesis—0
Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)Code0
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation DatasetCode1
Switched auxiliary loss for robust training of transformer models for histopathological image segmentation—0
Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders—0
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images—0
False Negative/Positive Control for SAM on Noisy Medical ImagesCode1
EAVL: Explicitly Align Vision and Language for Referring Image Segmentation—0
Microscopy Image Segmentation via Point and Shape Regularized Data SynthesisCode0
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT—0
A tailored Handwritten-Text-Recognition System for Medieval Latin—0
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image SegmentationCode0
SurgicalSAM: Efficient Class Promptable Surgical Instrument SegmentationCode1
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks—0
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions—0
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation—0
DSFNet: Dual-GCN and Location-fused Self-attention with Weighted Fast Normalized Fusion for Polyps SegmentationCode0
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic SegmentationCode0
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsCode1
Self-Prompting Large Vision Models for Few-Shot Medical Image SegmentationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets—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