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 2901–2950 of 5035 papers

TitleStatusHype
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation—0
Filter Design and Performance Evaluation for Fingerprint Image Segmentation—0
Fully Automated 3D Segmentation of MR-Imaged Calf Muscle Compartments: Neighborhood Relationship Enhanced Fully Convolutional Network—0
Financial Table Extraction in Image Documents—0
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation—0
Finding the Most Transferable Tasks for Brain Image Segmentation—0
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images—0
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks—0
Fine tuning U-Net for ultrasound image segmentation: which layers?—0
Finger Vein Recognition by Generating Code—0
First arrival picking using U-net with Lovasz loss and nearest point picking method—0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation—0
Flame quality monitoring of flare stack based on deep visual features—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
Flower Categorization using Deep Convolutional Neural Networks—0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms—0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator—0
Focal Attention Networks: optimising attention for biomedical image segmentation—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
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
Fourier Boundary Features Network with Wider Catchers for Glass Segmentation—0
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors—0
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm—0
FP-PET: Large Model, Multiple Loss And Focused Practice—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
Free Form based active contours for image segmentation and free space perception—0
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models—0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation—0
Freestyle Sketch-in-the-Loop Image Segmentation—0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training—0
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation—0
From Active Contours to Minimal Geodesic Paths: New Solutions to Active Contours Problems by Eikonal Equations—0
From CNN to Transformer: A Review of Medical Image Segmentation Models—0
From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation—0
PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation—0
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module—0
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence—0
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors—0
Pitfalls of topology-aware image segmentation—0
Pixel-Level Clustering Network for Unsupervised 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