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 4051–4100 of 5035 papers

TitleStatusHype
Automatic Image Pixel Clustering based on Mussels Wandering Optimiz—0
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 area—0
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation—0
A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation SystemsCode0
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning—0
Revisiting CycleGAN for semi-supervised segmentationCode0
Exploiting Temporality for Semi-Supervised Video SegmentationCode0
Transfer Learning from Partial Annotations for Whole Brain Segmentation—0
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image SegmentationCode0
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation—0
Customizable Architecture Search for Semantic Segmentation—0
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans—0
Where Is My Mirror?Code0
Generator evaluator-selector net for panoptic image segmentation and splitting unfamiliar objects into partsCode0
Don't ignore Dropout in Fully Convolutional Networks—0
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths—0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks—0
End-to-End Boundary Aware Networks for Medical Image Segmentation—0
U-Net Training with Instance-Layer Normalization—0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation—0
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation—0
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation—0
Weakly Supervised Segmentation by A Deep Geodesic Prior—0
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation—0
Multiple Light Source Dataset for Colour ResearchCode0
SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks—0
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentationCode0
High Accurate Unhealthy Leaf Detection—0
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image SegmentationCode0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation—0
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation—0
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance—0
Constrained domain adaptation for Image segmentationCode0
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation—0
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis—0
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks—0
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation—0
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural NetworkCode0
U-Net Fixed-Point Quantization for Medical Image SegmentationCode0
Robustifying deep networks for image segmentation—0
A novel framework of the fuzzy c-means distances problem based weighted distance—0
Interior Object Detection and Color Harmonization—0
Lung image segmentation by generative adversarial networks—0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentationCode0
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image SegmentationCode0
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation—0
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation—0
Attention Guided Network for Retinal Image SegmentationCode0
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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