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 951–1000 of 5035 papers

TitleStatusHype
Segment Anything without SupervisionCode3
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image SegmentationCode0
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation—0
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation—0
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text CuesCode1
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans—0
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual SegmentationCode0
EFCNet: Every Feature Counts for Small Medical Object Segmentation—0
Few-Shot Medical Image Segmentation with High-Fidelity PrototypesCode1
Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse ProcessCode2
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation—0
Test-Time Generative Augmentation for Medical Image SegmentationCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
Medical Image Segmentation Using Directional Window AttentionCode0
Point-SAM: Promptable 3D Segmentation Model for Point CloudsCode3
Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image PreprocessingCode0
Automatically Adaptive Conformal Risk ControlCode0
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?Code2
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and VisualizationCode0
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery—0
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and EvaluationCode1
Self-Supervised Alignment Learning for Medical Image Segmentation—0
Segmenting Dead Sea Scroll Fragments for a Scientific Image Set—0
SelfReg-UNet: Self-Regularized UNet for Medical Image SegmentationCode2
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation—0
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
Trusting Semantic Segmentation Networks—0
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive FieldsCode1
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate SegmentationCode1
Elliptical AttentionCode0
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation—0
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component AnalysisCode1
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation—0
MiSuRe is all you need to explain your image segmentation—0
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty EstimationCode0
Visually Consistent Hierarchical Image Classification—0
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes—0
Learning from Exemplars for Interactive Image Segmentation—0
Boosting Medical Image Classification with Segmentation Foundation Model—0
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation—0
The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences—0
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal DependencyCode0
RobustSAM: Segment Anything Robustly on Degraded ImagesCode3
DenoiseRep: Denoising Model for Representation LearningCode1
GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image SegmentationCode0
SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image SegmentationCode0
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model—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