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 40014025 of 5035 papers

TitleStatusHype
Virtual organelle self-coding for fluorescence imaging via adversarial learning0
Automatic Image Pixel Clustering based on Mussels Wandering Optimiz0
Eelgrass beds and oyster farming at a lagoon before and after the Great East Japan Earthquake 2011: potential to apply deep learning at a coastal area0
3D U^2-Net: A 3D Universal U-Net for Multi-Domain Medical Image SegmentationCode1
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation0
A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation SystemsCode0
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning0
Revisiting CycleGAN for semi-supervised segmentationCode0
Exploiting Temporality for Semi-Supervised Video SegmentationCode0
Transfer Learning from Partial Annotations for Whole Brain Segmentation0
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image SegmentationCode0
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation0
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans0
Customizable Architecture Search for Semantic Segmentation0
Don't ignore Dropout in Fully Convolutional Networks0
Generator evaluator-selector net for panoptic image segmentation and splitting unfamiliar objects into partsCode0
Where Is My Mirror?Code0
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks0
U-Net Training with Instance-Layer Normalization0
End-to-End Boundary Aware Networks for Medical Image Segmentation0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation0
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation0
Unsupervised Multi-modal Style Transfer for Cardiac MR 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