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 601625 of 5035 papers

TitleStatusHype
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image SegmentationCode1
Robust T-Loss for Medical Image SegmentationCode1
S^2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp SegmentationCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Pre-Training Auto-Generated Volumetric Shapes for 3D Medical Image SegmentationCode1
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image SegmentationCode1
A Unified Framework for U-Net Design and AnalysisCode1
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple AttentionsCode1
Detect Any Shadow: Segment Anything for Video Shadow DetectionCode1
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image SegmentationCode1
NexToU: Efficient Topology-Aware U-Net for Medical Image SegmentationCode1
VDD: Varied Drone Dataset for Semantic SegmentationCode1
An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image LevelCode1
UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything ModelCode1
ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentationCode1
Restore Anything Pipeline: Segment Anything Meets Image RestorationCode1
When SAM Meets Shadow DetectionCode1
One-Prompt to Segment All Medical ImagesCode1
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion ModelCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
MaxViT-UNet: Multi-Axis Attention for Medical Image SegmentationCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image SegmentationCode1
Revisiting the Encoding of Satellite Image Time SeriesCode1
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