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 3001–3050 of 5035 papers

TitleStatusHype
Exploring Feature Representation Learning for Semi-supervised Medical Image SegmentationCode0
Improving Semantic Image Segmentation via Label Fusion in Semantically Textured MeshesCode1
FedCV: A Federated Learning Framework for Diverse Computer Vision TasksCode1
Differentiable Projection for Constrained Deep Learning—0
MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation—0
One-shot Weakly-Supervised Segmentation in Medical ImagesCode1
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation—0
Panoptic Segmentation: A ReviewCode1
Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy ImagesCode0
Comprehensive Multi-Modal Interactions for Referring Image Segmentation—0
Weakly-supervised fire segmentation by visualizing intermediate CNN layers—0
Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images—0
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration—0
Multiset Neurons—0
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape DescriptorCode0
The Emergence of Objectness: Learning Zero-Shot Segmentation from VideosCode1
Clicking Matters:Towards Interactive Human Parsing—0
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks—0
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets—0
Multi-Task Neural Processes—0
Data privacy protection in microscopic image analysis for material data mining—0
Robust deep learning-based semantic organ segmentation in hyperspectral images—0
Mixed Transformer U-Net For Medical Image SegmentationCode1
Multi-Modality Cardiac Image Analysis with Deep Learning—0
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration NetworkCode1
Segmentation of 2D Brain MR ImagesCode1
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder—0
FBNet: Feature Balance Network for Urban-Scene Segmentation—0
Attention on Classification for Fire Segmentation—0
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT imageCode1
Partial supervision for the FeTA challenge 2021Code1
Learned Image Compression for Machine Perception—0
3-D PET Image Generation with tumour masks using TGANCode0
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation—0
Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance PropagationCode0
MedAI: Transparency in Medical Image SegmentationCode0
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy—0
Geodesic Models with Convexity Shape Prior—0
Creating A Coefficient of Change in the Built Environment After a Natural Disaster—0
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentationCode0
Focal Attention Networks: optimising attention for biomedical image segmentation—0
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation—0
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation—0
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image SegmentationCode0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation—0
Unsupervised Foreground Extraction via Deep Region CompetitionCode1
Approximate Decomposable Submodular Function Minimization for Cardinality-Based ComponentsCode0
Localized Super Resolution for Foreground Images using U-Net and MR-CNNCode0
PL-Net: Progressive Learning Network for Medical Image 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