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

Showing 41014150 of 5035 papers

TitleStatusHype
Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts0
Patch-based Evaluation of Image Segmentation0
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks0
Patch Network for medical image Segmentation0
Pathological Image Segmentation with Noisy Labels0
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation0
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation0
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation0
PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation0
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training0
PCCA-Model: an attention module for medical image segmentation0
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data0
Peekaboo - Where are the Objects? Structure Adjusting Superpixels0
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation0
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation0
Penalizing small errors using an Adaptive Logarithmic Loss0
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan0
Performance Analysis of UNet and Variants for Medical Image Segmentation0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation0
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg0
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images0
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs0
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation0
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation0
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors0
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation0
Phase Collaborative Network for Two-Phase Medical Image Segmentation0
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection0
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation0
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation0
PIDformer: Transformer Meets Control Theory0
Piecewise Flat Embedding for Image Segmentation0
Metrics Revolutions: Groundbreaking Insights into the Implementation of Metrics for Biomedical Image SegmentationCode0
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid SegmentationCode0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation ModelsCode0
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference AnnotationsCode0
Microscopy Image Segmentation via Point and Shape Regularized Data SynthesisCode0
Microstructural segmentation using a union of attention guided U-Net models with different color transformed imagesCode0
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided PromptingCode0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
Evaluation of Data Augmentation and Loss Functions in Semantic Image Segmentation for Drilling Tool Wear DetectionCode0
Mimic and Fool: A Task Agnostic Adversarial AttackCode0
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationCode0
Evaluation and improvement of Segment Anything Model for interactive histopathology image segmentationCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2Code0
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-NetCode0
Meta-Learning Initializations for Image SegmentationCode0
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92Unverified
2HetNetIoU0.83Unverified
3PMDIoU0.82Unverified
4SANetIoU0.8Unverified
5MirrorNetIoU0.79Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73Unverified
2HetNetIoU0.69Unverified
3SANetIoU0.67Unverified
4PMDIoU0.66Unverified
5MirrorNetIoU0.59Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8Unverified
2MAS-SAMmIoU0.79Unverified
3MASNetmIoU0.74Unverified
4ZoomNetmIoU0.74Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8Unverified
2PPSmIoUPartS58.6Unverified
3HIPIE (ResNet-50)mIoUPartS57.2Unverified
4JPPFmIoUPartS54.4Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74Unverified
2SAM2-UNetmIoU0.74Unverified
3MASNetmIoU0.73Unverified
4ZoomNetmIoU0.73Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6Unverified
2OneNete,4-SmAP0.552.75Unverified
3OneNeted,4mIoU14.9Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98Unverified
2PALEDDice0.98Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67Unverified
2UNetIoU0.57Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97Unverified