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 39764000 of 5035 papers

TitleStatusHype
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images0
NARF24: Estimating Articulated Object Structure for Implicit Rendering0
Natural Scene Image Segmentation Based on Multi-Layer Feature Extraction0
Navigating Uncertainty in Medical Image Segmentation0
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images0
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network0
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation0
ν-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters0
Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks0
Network-Agnostic Knowledge Transfer for Medical Image Segmentation0
Network-Agnostic Knowledge Transfer from Latent Dataset for Medical Image Segmentation0
Neural Architecture Search in operational context: a remote sensing case-study0
Neural Diffusion Distance for Image Segmentation0
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images0
A Critical Connectivity Radius for Segmenting Randomly-Generated, High Dimensional Data Points0
Neural ODEs for Image Segmentation with Level Sets0
Neural Radiance Projection0
Neural Style Transfer for Remote Sensing0
Neuroevolution of Self-Attention Over Proto-Objects0
Neuro-Symbolic Spatio-Temporal Reasoning0
Neutro-Connectedness Cut0
New region force for variational models in image segmentation and high dimensional data clustering0
Next Generation Multicuts for Semi-Planar Graphs0
NFFT meets Krylov methods: Fast matrix-vector products for the graph Laplacian of fully connected networks0
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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