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 20512075 of 5035 papers

TitleStatusHype
DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler SignalCode0
AI in the Loop -- Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines0
Fast Submodular Function Maximization0
MaxViT-UNet: Multi-Axis Attention for Medical Image SegmentationCode1
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency0
Learning to Learn Unlearned Feature for Brain Tumor Segmentation0
Image Segmentation via Probabilistic Graph Matching0
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation0
Multi-Class Segmentation of Heterogeneous Areas in Biomedical and Environmental Images Based on the Assessment of Local Edge Density0
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping0
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
An Empirical Study on the Robustness of the Segment Anything Model (SAM)0
Image Segmentation For Improved Lossless Screen Content Compression0
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal SegmentationCode0
Radious: Unveiling the Enigma of Dental Radiology with BEIT Adaptor and Mask2Former in Semantic Segmentation0
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching0
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image SegmentationCode1
Semantic Segmentation using Vision Transformers: A survey0
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A SurveyCode0
MAF-Net: Multiple attention-guided fusion network for fundus vascular image segmentation0
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks0
Mci-net: multi-scale context integrated network for liver ct image segmentationCode0
Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?Code1
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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