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 30263050 of 5035 papers

TitleStatusHype
Improved post-hoc probability calibration for out-of-domain MRI segmentationCode0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans0
Multiclass ASMA vs Targeted PGD Attack in Image Segmentation0
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain ImagesCode0
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images0
Lung nodules segmentation from CT with DeepHealth toolkit0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation0
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images0
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation0
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation0
Two-Stream UNET Networks for Semantic Segmentation in Medical Images0
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 Segmentation0
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
Learning-Based Keypoint Registration for Fetoscopic Mosaicking0
Flow 2.0 -a flexible, scalable, cross-platform post-processing software for realtime phase contrast sequences0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training0
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 Robustness0
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction0
Adaptive Active Contour Model for Brain Tumor SegmentationCode0
Large-Kernel Attention for 3D Medical Image Segmentation0
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures0
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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