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

Showing 43764400 of 5035 papers

TitleStatusHype
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism0
Improved Unet model for brain tumor image segmentation based on ASPP-coordinate attention mechanism0
Improved Workflow for Unsupervised Multiphase Image Segmentation0
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients0
Improving Brain Magnetic Resonance Image MRI Segmentation via a Novel Algorithm based on Genetic and Regional Growth0
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation0
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks0
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model0
Improving Data-Efficient Fossil Segmentation via Model Editing0
Improving Gibbs Sampler Scan Quality with DoGS0
Improving Image co-segmentation via Deep Metric Learning0
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds0
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation0
Improving Multi-Modal Learning with Uni-Modal Teachers0
Improving RANSAC-Based Segmentation Through CNN Encapsulation0
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context0
Improving Training on Noisy Stuctured Labels0
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation0
In-context learning for medical image segmentation0
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation0
Incorporating Near-Infrared Information into Semantic Image Segmentation0
Incorporating prior knowledge in medical image segmentation: a survey0
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing0
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation0
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Benchmark Results

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