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 1501–1550 of 5035 papers

TitleStatusHype
Alternate Diverse Teaching for Semi-supervised Medical Image SegmentationCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric dataCode0
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model—0
I-MedSAM: Implicit Medical Image Segmentation with Segment AnythingCode1
Clean Label Disentangling for Medical Image Segmentation with Noisy LabelsCode0
Image segmentation with traveling waves in an exactly solvable recurrent neural network—0
Spatially Covariant Image Registration with Text PromptsCode1
RISAM: Referring Image Segmentation via Mutual-Aware Attention Features—0
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Unleashing the Power of Prompt-driven Nucleus Instance SegmentationCode1
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation—0
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture—0
Bayesian Neural Networks for 2D MRI Segmentation—0
LACFormer: Toward accurate and efficient polyp segmentationCode0
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
Hybrid Whale-Mud-Ring Optimization for Precise Color Skin Cancer Image Segmentation—0
Q-Seg: Quantum Annealing-Based Unsupervised Image SegmentationCode1
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language ModelsCode0
GMISeg: General Medical Image Segmentation without Re-Training—0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Few-shot Multispectral Segmentation with Representations Generated by Reinforcement LearningCode0
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masksCode3
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation—0
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation AlgorithmsCode1
GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure SegmentationCode1
Self-Supervised Versus Supervised Training for Segmentation of Organoid Images—0
Open-Vocabulary Camouflaged Object SegmentationCode2
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation—0
Automatic measurement of coverage area of water-based pesticides-surfactant formulation on plant leaves using deep learning tools—0
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model—0
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound—0
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-DisambiguationCode1
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained DatasetsCode0
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks—0
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image SegmentationCode0
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification—0
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and ClassificationCode0
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries—0
Slide-SAM: Medical SAM Meets Sliding WindowCode1
On the Overconfidence Problem in Semantic 3D MappingCode1
Nondestructive, quantitative viability analysis of 3D tissue cultures using machine learning image segmentation—0
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation—0
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage SegmentationCode1
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)Code0
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MRCode0
Level Set KSVD—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