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 24262450 of 5035 papers

TitleStatusHype
Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle0
Intelligent image synthesis to attack a segmentation CNN using adversarial learning0
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks0
Interactive Binary Image Segmentation with Edge Preservation0
Interactive Boundary Prediction for Object Selection0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation0
Instance-guided Cartoon Editing with a Large-scale Dataset0
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data0
Interactive Image Segmentation Using Constrained Dominant Sets0
Interactive Image Segmentation using Label Propagation through Complex Networks0
Interactive Image Segmentation via Backpropagating Refinement Scheme0
Learning-Based Keypoint Registration for Fetoscopic Mosaicking0
Learning from Partial Label Proportions for Whole Slide Image Segmentation0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images0
Interactive Image Selection and Training for Brain Tumor Segmentation Network0
Learning Confident Classifiers in the Presence of Label Noise0
Data variation-aware medical image segmentation0
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning0
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?0
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection0
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness0
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization0
Interactive Segmentation on RGBD Images via Cue Selection0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors0
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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