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 17761800 of 5035 papers

TitleStatusHype
Interactive Learning for Semantic Segmentation in Earth ObservationCode0
Information-Theoretic Segmentation by Inpainting Error MaximizationCode0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural NetworksCode0
Improving the generalizability of convolutional neural network-based segmentation on CMR imagesCode0
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural NetworksCode0
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentationCode0
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep LearningCode0
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationCode0
Input Invex Neural NetworkCode0
Improving land cover segmentation across satellites using domain adaptationCode0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context UnderstandingCode0
Automatically Adaptive Conformal Risk ControlCode0
Deep Attentive Features for Prostate Segmentation in 3D Transrectal UltrasoundCode0
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent DataCode0
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and SegmentationCode0
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approachCode0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal TractCode0
Improved Image Segmentation via Cost Minimization of Multiple HypothesesCode0
Clean Label Disentangling for Medical Image Segmentation with Noisy LabelsCode0
Decoupled Competitive Framework for Semi-supervised Medical Image SegmentationCode0
Deconver: A Deconvolutional Network for Medical Image SegmentationCode0
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble ModelCode0
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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