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 39263950 of 5035 papers

TitleStatusHype
Hierarchical Attention Networks for Medical Image Segmentation0
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction0
Automatic Image Co-Segmentation: A Survey0
Signal Clustering with Class-independent Segmentation0
Automated Human Claustrum Segmentation using Deep Learning Technologies0
Kvasir-SEG: A Segmented Polyp DatasetCode0
ResUNet++: An Advanced Architecture for Medical Image SegmentationCode1
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module0
Cost-efficient segmentation of electron microscopy images using active learning0
Sampling of Planar Curves: Theory and Fast Algorithms0
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision0
Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation MapsCode0
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning0
Disentangle, align and fuse for multimodal and semi-supervised image segmentationCode0
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision0
Deep learning for cardiac image segmentation: A review0
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design0
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications0
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & PracticeCode0
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image SegmentationCode1
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations0
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D ImagesCode0
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN0
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation0
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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