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 41014125 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
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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