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 2701–2750 of 5035 papers

TitleStatusHype
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques—0
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations—0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation—0
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes—0
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation—0
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model—0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation—0
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation—0
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation—0
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation—0
The Potential of Visual ChatGPT For Remote Sensing—0
Segment anything, from space?—0
Topology-Aware Focal Loss for 3D Image Segmentation—0
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net ArchitectureCode0
Deep Attention Unet: A Network Model with Global Feature Perception Ability—0
DCELANM-Net:Medical Image Segmentation based on Dual Channel Efficient Layer Aggregation Network with Learner—0
Realistic Data Enrichment for Robust Image Segmentation in Histopathology—0
Few-shot Medical Image Segmentation via Cross-Reference Transformer—0
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets—0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism—0
One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual PromptCode0
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation—0
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIRCode0
A Survey on Few-Shot Class-Incremental Learning—0
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel SegmentationCode0
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-trainingCode0
Scale-Equivariant Deep Learning for 3D DataCode0
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
Scale-Space Hypernetworks for Efficient Biomedical Imaging—0
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
Scale-Equivariant UNet for Histopathology Image Segmentation—0
ADS_UNet: A Nested UNet for Histopathology Image Segmentation—0
Self-training with dual uncertainty for semi-supervised medical image segmentation—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model—0
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging—0
Transformer Utilization in Medical Image Segmentation Networks—0
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation—0
Marginal Thresholding in Noisy Image Segmentation—0
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational modelCode0
Pallet Detection from Synthetic Data Using Game Engines—0
Microstructural segmentation using a union of attention guided U-Net models with different color transformed imagesCode0
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation—0
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation—0
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsCode0
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging SegmentationCode0
Cross-modal tumor segmentation using generative blending augmentation and self trainingCode0
Noisy Image Segmentation With Soft-Dice—0
U-Netmer: U-Net meets Transformer for medical image segmentation—0
Learning Robust Medical Image Segmentation from Multi-source Annotations—0
Show:102550
← PrevPage 55 of 101Next →
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