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

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Showing 3601–3650 of 5035 papers

TitleStatusHype
Towards Musically Meaningful Explanations Using Source SeparationCode1
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking—0
Quality-aware semi-supervised learning for CMR segmentation—0
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers—0
A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors Before and After Stereotactic Radiation Therapy—0
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural NetworksCode0
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information—0
Identifying and Tracking Solar Magnetic Flux Elements with Deep LearningCode0
Disentangled Representations for Domain-generalized Cardiac SegmentationCode1
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image SegmentationCode0
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy—0
Mask-guided sample selection for Semi-Supervised Instance Segmentation—0
Image Segmentation of Zona-Ablated Human Blastocysts—0
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data—0
Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement—0
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image SegmentationCode1
Feedback Attention for Cell Image Segmentation—0
Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images—0
Uncertainty Quantification using Variational Inference for Biomedical Image SegmentationCode0
Image segmentation via Cellular Automata—0
Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field—0
Central object segmentation by deep learning for fruits and other roundish objectsCode0
3D B-mode ultrasound speckle reduction using deep learning for 3D registration applications—0
PhraseCut: Language-based Image Segmentation in the WildCode1
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation—0
Semantic Context Encoding for Accurate 3D Point Cloud Segmentation—0
Regression of Instance Boundary by Aggregated CNN and GCN—0
ForkGAN: Seeing into the Rainy NightCode1
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation—0
State-of-The-Art Fuzzy Active Contour Models for Image Segmentation—0
Neural Style Transfer for Remote Sensing—0
Heatmap-based Vanishing Point boosts Lane Detection—0
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM—0
Learning To Pay Attention To MistakesCode0
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization—0
Efficient OCT Image Segmentation Using Neural Architecture Search—0
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Autonomous Removal of Perspective Distortion of Elevator Button Images based on Corner Detection—0
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery—0
Greenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques—0
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical ImagesCode1
AinnoSeg: Panoramic Segmentation with High Perfomance—0
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without AnnotationCode1
Unsupervised Learning of Image Segmentation Based on Differentiable Feature ClusteringCode1
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation—0
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image SegmentationCode1
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation—0
Self-similarity Student for Partial Label Histopathology Image Segmentation—0
Superpixel-Guided Label Softening for Medical Image Segmentation—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified