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 21012150 of 5035 papers

TitleStatusHype
Segment anything, from space?0
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationCode3
Track Anything: Segment Anything Meets VideosCode5
AutoFocusFormer: Image Segmentation off the GridCode1
Segment Anything in Medical ImagesCode4
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysisCode1
Topology-Aware Focal Loss for 3D Image Segmentation0
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net ArchitectureCode0
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation ModelCode1
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image SegmentationCode1
Deep Attention Unet: A Network Model with Global Feature Perception Ability0
Segment Anything Model for Medical Image Analysis: an Experimental StudyCode1
Realistic Data Enrichment for Robust Image Segmentation in Histopathology0
DCELANM-Net:Medical Image Segmentation based on Dual Channel Efficient Layer Aggregation Network with Learner0
Few-shot Medical Image Segmentation via Cross-Reference Transformer0
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and MoreCode3
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets0
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation0
One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual PromptCode0
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIRCode0
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism0
Delving into Shape-aware Zero-shot Semantic SegmentationCode1
A Survey on Few-Shot Class-Incremental Learning0
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Segment Everything Everywhere All at OnceCode1
iResSENet: An Accurate Convolutional Neural Network for Retinal Blood Vessel SegmentationCode0
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionCode1
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-trainingCode0
UniverSeg: Universal Medical Image SegmentationCode2
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAMCode2
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and AggregationCode2
Scale-Equivariant Deep Learning for 3D DataCode0
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world ApplicationsCode1
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guideCode1
Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical LearningCode0
Mask-conditioned latent diffusion for generating gastrointestinal polyp imagesCode1
Scale-Space Hypernetworks for Efficient Biomedical Imaging0
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model0
Scale-Equivariant UNet for Histopathology Image Segmentation0
ADS_UNet: A Nested UNet for Histopathology Image Segmentation0
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationCode1
Self-training with dual uncertainty for semi-supervised medical image segmentation0
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation0
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging0
Transformer Utilization in Medical Image Segmentation Networks0
Marginal Thresholding in Noisy Image Segmentation0
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation0
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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