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 551–600 of 5035 papers

TitleStatusHype
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation—0
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation—0
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation—0
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating TrainingCode1
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation—0
Quantum-enhanced unsupervised image segmentation for medical images analysis—0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models—0
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow NetworkCode0
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation—0
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT SegmentationCode0
Interactive Medical Image Segmentation: A Benchmark Dataset and BaselineCode3
DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation—0
Visualizing Loss Functions as Topological Landscape Profiles—0
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical SegmentationCode0
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling—0
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation—0
SP ^3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation—0
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks—0
DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image SegmentationCode0
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention—0
Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation—0
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation—0
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label SelectionCode0
OneNet: A Channel-Wise 1D Convolutional U-NetCode1
Fast probabilistic snake algorithm—0
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images—0
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations—0
Zero-shot capability of SAM-family models for bone segmentation in CT scans—0
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation—0
Image Segmentation from Shadow-Hints using Minimum Spanning Trees—0
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal MechanismsCode0
Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters—0
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation—0
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation—0
A General Pipeline for Glomerulus Whole-Slide Image SegmentationCode0
Foundation AI Model for Medical Image Segmentation—0
Region-Guided Attack on the Segment Anything Model (SAM)—0
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation—0
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks ClusteringCode0
Exploring PCA-based feature representations of image pixels via CNN to enhance food image segmentation—0
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation—0
ZIM: Zero-Shot Image Matting for AnythingCode3
MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image SegmentationCode1
Revisiting MAE pre-training for 3D medical image segmentation—0
Compositional Segmentation of Cardiac Images Leveraging MetadataCode0
Benchmarking Human and Automated Prompting in the Segment Anything ModelCode0
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable 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