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 25262550 of 5035 papers

TitleStatusHype
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data0
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model0
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation0
Stack-U-Net: Refinement Network for Image Segmentation on the Example of Optic Disc and Cup0
Stagnant zone segmentation with U-net0
STARS: Zero-shot Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery0
State-of-The-Art Fuzzy Active Contour Models for Image Segmentation0
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation0
Stereo-based terrain traversability analysis using normal-based segmentation and superpixel surface analysis0
StereoSnakes: Contour Based Consistent Object Extraction For Stereo Images0
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation0
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation0
Stopping Criterion for the Mean Shift Iterative Algorithm0
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models0
Streamlined Photoacoustic Image Processing with Foundation Models: A Training-Free Solution0
StructBoost: Boosting Methods for Predicting Structured Output Variables0
Semantic and structural image segmentation for prosthetic vision0
Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary0
Structured IB: Improving Information Bottleneck with Structured Feature Learning0
Structured Learning of Tree Potentials in CRF for Image Segmentation0
Structured Prediction with Abstention via the Lovász Hinge0
Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform0
Structure Unbiased Adversarial Model for Medical Image Segmentation0
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI0
Study of Efficient Technique Based On 2D Tsallis Entropy For Image Thresholding0
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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