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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1875 of 5035 papers

TitleStatusHype
Are conditional GANs explicitly conditional?—0
Feedback Attention for Cell Image Segmentation—0
Feedback Chain Network For Hippocampus Segmentation—0
Feedback U-net for Cell Image Segmentation—0
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder—0
Boundary feature fusion network for tooth image segmentation—0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations—0
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps—0
Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation—0
A New Finsler Minimal Path Model With Curvature Penalization for Image Segmentation and Closed Contour Detection—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion—0
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation—0
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks—0
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning—0
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding—0
Graphical Potential Games—0
Few-shot Medical Image Segmentation with Cycle-resemblance Attention—0
DPANET:Dual Pooling Attention Network for Semantic Segmentation—0
Few-Shot Medical Image Segmentation with Large Kernel Attention—0
Downstream Analysis of Foundational Medical Vision Models for Disease Progression—0
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation—0
A Regularized Convolutional Neural Network for Semantic Image Segmentation—0
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified