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 49264950 of 5035 papers

TitleStatusHype
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
FedSODA: Federated Cross-assessment and Dynamic Aggregation for Histopathology SegmentationCode0
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation CompletenessCode0
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionCode0
Convolutional CRFs for Semantic SegmentationCode0
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual EffectsCode0
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image SegmentationCode0
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image SegmentationCode0
A Contrastive Learning Scheme with Transformer Innate PatchesCode0
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural NetworksCode0
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural NetworkCode0
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image SegmentationCode0
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor SegmentationCode0
3-D PET Image Generation with tumour masks using TGANCode0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium SegmentationCode0
ConStyX: Content Style Augmentation for Generalizable Medical Image SegmentationCode0
A Multi-Task Cross-Task Learning Architecture for Ad-hoc Uncertainty Estimation in 3D Cardiac MRI Image SegmentationCode0
Task-agnostic Out-of-Distribution Detection Using Kernel Density EstimationCode0
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image SegmentationCode0
Revisiting CycleGAN for semi-supervised segmentationCode0
Automated Deep Photo Style TransferCode0
3D-OOCS: Learning Prostate Segmentation with Inductive BiasCode0
Truly Scale-Equivariant Deep Nets with Fourier LayersCode0
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasetsCode0
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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