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 20512075 of 5035 papers

TitleStatusHype
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation0
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis0
3D Densely Convolutional Networks for VolumetricSegmentation0
Image Segmentation-based Unsupervised Multiple Objects Discovery0
Image Segmentation by Uniform Color Clustering Approach and Benchmark Results0
Image Segmentation of Multi-Shaped Overlapping Objects0
Image Segmentation via Variational Model Based Tailored UNet: A Deep Variational Framework0
Do Deep Neural Networks for Segmentation Understand Insideness?0
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning0
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts0
An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image0
ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue0
DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation0
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images0
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation0
Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation0
An Empirical Study on the Robustness of the Segment Anything Model (SAM)0
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation0
Diversity-Promoting Ensemble for Medical Image Segmentation0
FocusNet++: Attentive Aggregated Transformations for Efficient and Accurate Medical Image Segmentation0
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image 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