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 46264650 of 5035 papers

TitleStatusHype
Mapping Vulnerable Populations with AI0
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation0
Marginal Thresholding in Noisy Image Segmentation0
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models0
RISAM: Referring Image Segmentation via Mutual-Aware Attention Features0
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation0
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation0
Masked Image Modeling Advances 3D Medical Image Analysis0
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain0
Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation0
Mask-guided sample selection for Semi-Supervised Instance Segmentation0
MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation0
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation0
MaskUno: Switch-Split Block For Enhancing Instance Segmentation0
MASNet:Improve Performance of Siamese Networks with Mutual-attention for Remote Sensing Change Detection Tasks0
Massively Parallel Benders Decomposition for Correlation Clustering0
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net0
SAM^Med: A medical image annotation framework based on large vision model0
Matlab Implementation of Machine Vision Algorithm on Ballast Degradation Evaluation0
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation0
Maximin affinity learning of image segmentation0
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation0
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation0
Mayfly optimization with deep learning enabled retinal fundus image classification model0
MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone 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