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 30263050 of 5035 papers

TitleStatusHype
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation0
Pubic Symphysis-Fetal Head Segmentation Network Using BiFormer Attention Mechanism and Multipath Dilated Convolution0
Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation0
Pylon Model for Semantic Segmentation0
Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation0
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation0
Pyramid Medical Transformer for Medical Image Segmentation0
Q2A: Querying Implicit Fully Continuous Feature Pyramid to Align Features for Medical Image Segmentation0
QIS : Interactive Segmentation via Quasi-Conformal Mappings0
Q-learning optimization in a multi-agents system for image segmentation0
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis0
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations0
Quality-aware semi-supervised learning for CMR segmentation0
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation0
Quantization of Deep Neural Networks for Accurate Edge Computing0
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation0
Quantized Feature Distillation for Network Quantization0
Quantum Edge Detection for Image Segmentation in Optical Environments0
Quantum-enhanced unsupervised image segmentation for medical images analysis0
Quantum Image Segmentation Based on Grayscale Morphology0
QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter0
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge0
QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networks0
R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation0
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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