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 15261550 of 5035 papers

TitleStatusHype
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray SegmentationCode0
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result FusionCode0
Benchmarking Human and Automated Prompting in the Segment Anything ModelCode0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Learning To Pay Attention To MistakesCode0
Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIRCode0
Learning With Context Feedback Loop for Robust Medical Image SegmentationCode0
Learning Semantic Segmentation with Query Points Supervision on Aerial ImagesCode0
Learning Semi-Supervised Medical Image Segmentation from Spatial RegistrationCode0
Learning Shape Representation on Sparse Point Clouds for Volumetric Image SegmentationCode0
DFEN: Dual Feature Equalization Network for Medical Image SegmentationCode0
Learning Multimodal Volumetric Features for Large-Scale Neuron TracingCode0
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
Learning of Image Dehazing Models for Segmentation TasksCode0
Light-Weight RefineNet for Real-Time Semantic SegmentationCode0
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labelingCode0
Learning Aerial Image Segmentation from Online MapsCode0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)Code0
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial ContinuityCode0
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D ImagesCode0
L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRICode0
Detection and Localization of Drosophila Egg Chambers in Microscopy Images.Code0
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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