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 29012925 of 5035 papers

TitleStatusHype
A Comprehensive Survey of Transformers for Computer Vision0
High-Quality Entity SegmentationCode0
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation0
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach0
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report0
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss0
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation0
Translated Skip Connections -- Expanding the Receptive Fields of Fully Convolutional Neural NetworksCode0
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images0
Style Augmentation improves Medical Image Segmentation0
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation0
Deep Learning for Global Wildfire Forecasting0
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation0
Saliency Can Be All You Need In Contrastive Self-Supervised Learning0
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernelsCode0
Localized Randomized Smoothing for Collective Robustness Certification0
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture0
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image SegmentationCode0
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency GuidanceCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
How precise are performance estimates for typical medical image segmentation tasks?0
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images0
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical AnalysisCode0
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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