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 19011925 of 5035 papers

TitleStatusHype
Flame quality monitoring of flare stack based on deep visual features0
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning0
Applying Conditional Generative Adversarial Networks for Imaging Diagnosis0
hidden markov random fields and cuckoo search method for medical image segmentation0
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images0
Double Similarity Distillation for Semantic Image Segmentation0
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors0
Combinatorial clustering and the beta negative binomial process0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences0
Flow Based Self-supervised Pixel Embedding for Image Segmentation0
End-to-End Boundary Aware Networks for Medical Image Segmentation0
Flower Categorization using Deep Convolutional Neural Networks0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms0
Hierarchical Attention Networks for Medical Image Segmentation0
Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator0
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation0
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation0
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation0
Don't ignore Dropout in Fully Convolutional Networks0
A Divide-and-Conquer Approach towards Understanding Deep Networks0
Heatmap-based Vanishing Point boosts Lane Detection0
Dominant Sets for "Constrained" Image Segmentation0
An evaluation of U-Net in Renal Structure Segmentation0
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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