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 876900 of 5035 papers

TitleStatusHype
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
PLN: Parasitic-Like Network for Barely Supervised Medical Image SegmentationCode1
Active Negative Loss: A Robust Framework for Learning with Noisy LabelsCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
DenoiseRep: Denoising Model for Representation LearningCode1
Point-Unet: A Context-aware Point-based Neural Network for Volumetric SegmentationCode1
PolyFormer: Referring Image Segmentation as Sequential Polygon GenerationCode1
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?Code1
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac AnatomyCode1
Positional Contrastive Learning for Volumetric Medical Image SegmentationCode1
Post-mortem Iris Recognition with Deep-Learning-based Image SegmentationCode1
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray SegmentationCode1
Pre-Training Auto-Generated Volumetric Shapes for 3D Medical Image SegmentationCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
`Project & Excite' Modules for Segmentation of Volumetric Medical ScansCode1
ProMISe: Promptable Medical Image Segmentation using SAMCode1
Image Segmentation Using Text and Image PromptsCode1
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image SegmentationCode1
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance ImagingCode1
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image SegmentationCode1
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image SegmentationCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
Affinity Fusion Graph-based Framework for Natural Image SegmentationCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
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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