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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3626–3650 of 5035 papers

TitleStatusHype
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation—0
Co-Seg: An Image Segmentation Framework Against Label Corruption—0
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training—0
Co-Sparse Textural Similarity for Image Segmentation—0
Cost-efficient segmentation of electron microscopy images using active learning—0
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation—0
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation—0
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation—0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Prompting—0
Creating A Coefficient of Change in the Built Environment After a Natural Disaster—0
CRF Learning with CNN Features for Image Segmentation—0
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation—0
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation—0
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks—0
CRNet: Cross-Reference Networks for Few-Shot Segmentation—0
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation—0
A Vision-Based Navigation System for Arable Fields—0
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation—0
Cross-aware Early Fusion with Stage-divided Vision and Language Transformer Encoders for Referring Image Segmentation—0
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift—0
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation—0
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans—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