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 2951–3000 of 5035 papers

TitleStatusHype
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks—0
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos—0
Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation—0
Pixel-wise Modulated Dice Loss for Medical Image Segmentation—0
Planar Ultrametric Rounding for Image Segmentation—0
Planar Ultrametrics for Image Segmentation—0
Planecell: Representing the 3D Space with Planes—0
Plant Doctor: A hybrid machine learning and image segmentation software to quantify plant damage in video footage—0
Improving segmentation of calcified and non-calcified plaques on CCTA-CPR scans via masking of the artery wall—0
PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning—0
Play and Learn: Using Video Games to Train Computer Vision Models—0
PL-Net: Progressive Learning Network for Medical Image Segmentation—0
PLU-Net: Extraction of multi-scale feature fusion—0
PlutoNet: An Efficient Polyp Segmentation Network with Modified Partial Decoder and Decoder Consistency Training—0
PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation—0
Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax—0
PNM: Pixel Null Model for General Image Segmentation—0
Point Cloud Upsampling as Statistical Shape Model for Pelvic—0
Points2Polygons: Context-Based Segmentation from Weak Labels Using Adversarial Networks—0
Point-wise Map Recovery and Refinement from Functional Correspondence—0
Poisoning the Search Space in Neural Architecture Search—0
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning—0
Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field—0
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring—0
Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models—0
Position-Aware Contrastive Alignment for Referring Image Segmentation—0
Possibilistic Fuzzy Local Information C-Means for Sonar Image Segmentation—0
Possibilistic Fuzzy Local Information C-Means with Automated Feature Selection for Seafloor Segmentation—0
Posthoc Interpretation via Quantization—0
Post-Mortem Human Iris Segmentation Analysis with Deep Learning—0
Post-Train Adaptive U-Net for Image Segmentation—0
PotholeGuard: A Pothole Detection Approach by Point Cloud Semantic Segmentation—0
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks—0
Power-Law Graph Cuts—0
Power-SLIC: Fast Superpixel Segmentations by Diagrams—0
PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training—0
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation—0
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development—0
Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data—0
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation—0
Principal component-based image segmentation: a new approach to outline in vitro cell colonies—0
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation—0
Prior-based Hierarchical Segmentation Highlighting Structures of Interest—0
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information—0
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare—0
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation—0
Probabilistic Joint Image Segmentation and Labeling—0
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation—0
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images—0
Progressive Adversarial Semantic 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