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 1901–1950 of 5035 papers

TitleStatusHype
Flame quality monitoring of flare stack based on deep visual features—0
A New Finsler Minimal Path Model With Curvature Penalization for Image Segmentation and Closed Contour Detection—0
DPANET:Dual Pooling Attention Network for Semantic Segmentation—0
Downstream Analysis of Foundational Medical Vision Models for Disease Progression—0
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning—0
Applying Conditional Generative Adversarial Networks for Imaging Diagnosis—0
Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification—0
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images—0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences—0
Flow Based Self-supervised Pixel Embedding for Image Segmentation—0
Double Similarity Distillation for Semantic Image Segmentation—0
Flower Categorization using Deep Convolutional Neural Networks—0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms—0
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors—0
End-to-End Boundary Aware Networks for Medical Image Segmentation—0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator—0
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks—0
High Quality Entity Segmentation—0
Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation—0
Higher-Order Inference for Multi-Class Log-Supermodular Models—0
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework—0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation—0
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation—0
Flexibly Regularized Mixture Models and Application to Image Segmentation—0
Higher-order Segmentation via Multicuts—0
Don't ignore Dropout in Fully Convolutional Networks—0
Foreground Clustering for Joint Segmentation and Localization in Videos and Images—0
Forest and Water Bodies Segmentation Through Satellite Images Using U-Net—0
ForestEyes Project: Conception, Enhancements, and Challenges—0
A Divide-and-Conquer Approach towards Understanding Deep Networks—0
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields—0
Foundation AI Model for Medical Image Segmentation—0
Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation—0
Foundation Models for Biomedical Image Segmentation: A Survey—0
High Accurate Unhealthy Leaf Detection—0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm—0
Dominant Sets for "Constrained" Image Segmentation—0
FP-PET: Large Model, Multiple Loss And Focused Practice—0
An evaluation of U-Net in Renal Structure Segmentation—0
Fractional Calculus In Image Processing: A Review—0
Framework for lung CT image segmentation based on UNet++—0
FRAP analysis Measuring biophysical kinetic parameters using image analysis—0
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation—0
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images—0
Free Form based active contours for image segmentation and free space perception—0
Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilistic K-Nearest Neighbors for Synthetic Aperture Sonar Image Segmentation—0
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models—0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation—0
Higher-Order Correlation Clustering for 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