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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2976–3000 of 5035 papers

TitleStatusHype
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