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 1651–1700 of 5035 papers

TitleStatusHype
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation—0
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling—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
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label SelectionCode0
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation—0
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations—0
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
Zero-shot capability of SAM-family models for bone segmentation in CT scans—0
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
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation—0
Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters—0
A General Pipeline for Glomerulus Whole-Slide Image SegmentationCode0
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation—0
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal MechanismsCode0
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
Compositional Segmentation of Cardiac Images Leveraging MetadataCode0
Revisiting MAE pre-training for 3D medical image segmentation—0
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
Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation—0
KA^2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation—0
Microplastic Identification Using AI-Driven Image Segmentation and GAN-Generated Ecological Context—0
Progressive Curriculum Learning with Scale-Enhanced U-Net for Continuous Airway Segmentation—0
SFB-net for cardiac segmentation: Bridging the semantic gap with attention—0
Cellpose+, a morphological analysis tool for feature extraction of stained cell imagesCode0
Enhancing pretraining efficiency for medical image segmentation via transferability metricsCode0
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation—0
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation—0
Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation—0
LIMIS: Towards Language-based Interactive Medical Image Segmentation—0
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations—0
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI SegmentationCode0
FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image SegmentationCode0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
Taming Mambas for Voxel Level 3D Medical Image Segmentation—0
Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation—0
MDFI-Net: Multiscale Differential Feature Interaction Network for Accurate Retinal Vessel Segmentation—0
BYOCL: Build Your Own Consistent Latent with Hierarchical Representative Latent ClusteringCode0
Flame quality monitoring of flare stack based on deep visual features—0
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy ImagesCode0
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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