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 1–50 of 5035 papers

TitleStatusHype
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion ModelCode0
Unified Medical Image Segmentation with State Space Modeling Snake—0
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKVCode1
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic ApproximationCode2
A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight ComputersCode0
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges—0
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks—0
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image SegmentationCode0
Rethinking Query-based Transformer for Continual Image SegmentationCode1
Just Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations—0
RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation ModelsCode1
OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts—0
SAMed-2: Selective Memory Enhanced Medical Segment Anything ModelCode1
Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation—0
No time to train! Training-Free Reference-Based Instance SegmentationCode3
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback SynergyCode1
Autoadaptive Medical Segment Anything ModelCode0
Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays—0
MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation—0
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts—0
MedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification—0
Segment Anything in Pathology Images with Natural Language—0
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image SegmentationCode0
Mixtures of Neural Cellular Automata: A Stochastic Framework for Growth Modelling and Self-Organization—0
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided PromptingCode0
MedSeg-R: Medical Image Segmentation with Clinical Reasoning—0
Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear AttentionCode1
SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert ConsensusCode0
Mobile Image Analysis Application for Mantoux Skin Test—0
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation BoosterCode2
LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical ImagesCode0
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module ExplorationCode1
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention—0
Pixel-wise Modulated Dice Loss for Medical Image Segmentation—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation—0
Simple is what you need for efficient and accurate medical image segmentationCode0
Prohibited Items Segmentation via Occlusion-aware Bilayer ModelingCode0
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models—0
Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation—0
Med-URWKV: Pure RWKV With ImageNet Pre-training For Medical Image Segmentation—0
Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches—0
ConStyX: Content Style Augmentation for Generalizable Medical Image SegmentationCode0
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage SegmentationCode0
SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image SegmentationCode0
ELBO-T2IAlign: A Generic ELBO-Based Method for Calibrating Pixel-level Text-Image Alignment in Diffusion Models—0
ContextLoss: Context Information for Topology-Preserving 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