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 3001–3050 of 5035 papers

TitleStatusHype
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression—0
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image DenoisingCode0
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model—0
ForestEyes Project: Conception, Enhancements, and Challenges—0
Cats: Complementary CNN and Transformer Encoders for Segmentation—0
Deep Structural Causal Shape Models—0
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image SegmentationCode0
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical ImageCode0
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation—0
Low-light Enhancement Method Based on Attention Map Net—0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation—0
Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI—0
Estimating Appearance Models for Image Segmentation via Tensor FactorizationCode0
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation—0
Joint reconstruction-segmentation on graphs—0
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation—0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation—0
TSRFormer: Table Structure Recognition with Transformers—0
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture—0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
A neuromorphic approach to image processing and machine vision—0
Distributed Contrastive Learning for Medical Image Segmentation—0
Exploring the Effects of Data Augmentation for Drivable Area Segmentation—0
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021—0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Improved post-hoc probability calibration for out-of-domain MRI segmentationCode0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
Multiclass ASMA vs Targeted PGD Attack in Image Segmentation—0
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain ImagesCode0
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images—0
Lung nodules segmentation from CT with DeepHealth toolkit—0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images—0
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation—0
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation—0
Two-Stream UNET Networks for Semantic Segmentation in Medical Images—0
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image SegmentationCode0
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation—0
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
Learning-Based Keypoint Registration for Fetoscopic Mosaicking—0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences—0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training—0
BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentationCode0
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness—0
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction—0
Adaptive Active Contour Model for Brain Tumor SegmentationCode0
Large-Kernel Attention for 3D Medical Image Segmentation—0
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures—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