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 38513875 of 5035 papers

TitleStatusHype
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation0
Feedback U-net for Cell Image Segmentation0
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy0
OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution0
A review: Deep learning for medical image segmentation using multi-modality fusion0
Generative Synthetic Augmentation using Label-to-Image Translation for Nuclei Image Segmentation0
L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRICode0
A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate AnnotationsCode0
Referring Image Segmentation by Generative Adversarial Learning0
LSM: Learning Subspace Minimization for Low-level Vision0
Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images0
Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means0
CAggNet: Crossing Aggregation Network for Medical Image Segmentation0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
Residual-driven Fuzzy C-Means Clustering for Image Segmentation0
Image Segmentation Using Hybrid Representations0
Y-net: Biomedical Image Segmentation and Clustering0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Capsules for Biomedical Image Segmentation0
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images0
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation0
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan ImagesCode0
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium Segmentation0
Volumetric Attention for 3D Medical Image Segmentation and Detection0
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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