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 22262250 of 5035 papers

TitleStatusHype
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors0
Fourier Boundary Features Network with Wider Catchers for Glass Segmentation0
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images0
Artificial Intelligence-based algorithms in medical image scan seg-mentation and intelligent visual-content generation -- a concise overview0
A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models0
Foundation Models for Biomedical Image Segmentation: A Survey0
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation0
Multiset Neurons0
Foundation AI Model for Medical Image Segmentation0
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields0
Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images0
ForestEyes Project: Conception, Enhancements, and Challenges0
Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation0
Forest and Water Bodies Segmentation Through Satellite Images Using U-Net0
Foreground Clustering for Joint Segmentation and Localization in Videos and Images0
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion0
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images0
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling0
Flexibly Regularized Mixture Models and Application to Image Segmentation0
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition0
Argmax Flows: Learning Categorical Distributions with Normalizing Flows0
A Gentle Introduction to Deep Learning in Medical Image Processing0
A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography0
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes0
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning0
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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