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 651–700 of 5035 papers

TitleStatusHype
Parallel Watershed Partitioning: GPU-Based Hierarchical Image Segmentation—0
VideoSAM: Open-World Video Segmentation—0
Adaptive Real-Time Multi-Loss Function Optimization Using Dynamic Memory Fusion Framework: A Case Study on Breast Cancer SegmentationCode0
Shift and matching queries for video semantic segmentation—0
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray FluoroscopyCode0
Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled DataCode0
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal ModelCode2
Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion—0
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA FiltersCode1
A Simple Image Segmentation Framework via In-Context ExamplesCode2
On Efficient Variants of Segment Anything Model: A Survey—0
A Mathematical Explanation of UNet—0
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel SegmentationCode0
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
Optimizing Medical Image Segmentation with Advanced Decoder DesignCode0
Conformal confidence sets for biomedical image segmentation—0
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy ImagesCode0
Metrics Revolutions: Groundbreaking Insights into the Implementation of Metrics for Biomedical Image SegmentationCode0
MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation—0
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images—0
Med-TTT: Vision Test-Time Training model for Medical Image SegmentationCode1
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual RepresentationsCode0
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registrationCode0
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical ImagesCode0
Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials—0
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension—0
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image SegmentationCode1
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image SegmentationCode0
ReXplain: Translating Radiology into Patient-Friendly Video Reports—0
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature GraftingCode1
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation—0
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation—0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
Automating MedSAM by Learning Prompts with Weak Few-Shot SupervisionCode1
Medical Image Segmentation with SAM-generated Annotations—0
One Token to Seg Them All: Language Instructed Reasoning Segmentation in VideosCode2
Fully Aligned Network for Referring Image Segmentation—0
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image SegmentationCode0
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image SegmentationCode2
Toward Deep Learning-based Segmentation and Quantitative Analysis of Cervical Spinal Cord Magnetic Resonance Images—0
ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue—0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning—0
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks—0
Revisit Anything: Visual Place Recognition via Image Segment RetrievalCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
Shape-intensity knowledge distillation for robust medical image segmentationCode0
Global-Local Medical SAM Adaptor Based on Full Adaption—0
PTQ4RIS: Post-Training Quantization for Referring Image SegmentationCode0
Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis—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