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 3251–3300 of 5035 papers

TitleStatusHype
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation—0
Segment Anything for Microscopy—0
Segment anything, from space?—0
Segment Anything in Pathology Images with Natural Language—0
Segment Anything Meets Semantic Communication—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
Segment Anything Model for Brain Tumor Segmentation—0
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging—0
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification—0
Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes—0
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation—0
Segmentation hiérarchique faiblement supervisée—0
Segmentation of 3D Dental Images Using Deep Learning—0
MAF-Net: Multiple attention-guided fusion network for fundus vascular image segmentation—0
Segmentation of kidney stones in endoscopic video feeds—0
Segmentation of large images based on super-pixels and community detection in graphs—0
Segmentation of Microscopy Data for finding Nuclei in Divergent Images—0
Segmentation of patchy areas in biomedical images based on local edge density estimation—0
Segmentation of the cortical plate in fetal brain MRI with a topological loss—0
Segmentation of waterbodies in remote sensing images using deep stacked ensemble model—0
Segmentation overlapping wear particles with few labelled data and imbalance sample—0
Segmentation Quality and Volumetric Accuracy in Medical Imaging—0
Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation—0
Segment Every Reference Object in Spatial and Temporal Spaces—0
Segmenting across places: The need for fair transfer learning with satellite imagery—0
Segmenting Dead Sea Scroll Fragments for a Scientific Image Set—0
Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net—0
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation—0
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation—0
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks—0
SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization—0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation—0
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images—0
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations—0
Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels—0
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation—0
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation—0
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation—0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
Self-Configuring and Evolving Fuzzy Image Thresholding—0
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation—0
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification—0
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation—0
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation—0
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation—0
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation—0
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation—0
Self-similarity Student for Partial Label Histopathology Image Segmentation—0
Self-Supervised Alignment Learning for Medical Image Segmentation—0
Self-Supervised Audio-Visual Co-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