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 751775 of 5035 papers

TitleStatusHype
Boundary-Aware Network for Kidney ParsingCode1
ACC-UNet: A Completely Convolutional UNet model for the 2020sCode1
Deep learning approach to left ventricular non-compaction measurementCode1
Learning from Noisy Pseudo-labels for All-Weather Land Cover MappingCode1
Boundary Difference Over Union Loss For Medical Image SegmentationCode1
Learning Multi-axis Representation in Frequency Domain for Medical Image SegmentationCode1
Learning Topological Interactions for Multi-Class Medical Image SegmentationCode1
Boundary IoU: Improving Object-Centric Image Segmentation EvaluationCode1
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac AnatomyCode1
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray SegmentationCode1
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image SegmentationCode1
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image SegmentationCode1
Bounding Box Tightness Prior for Weakly Supervised Image SegmentationCode1
DeepVoxNet2: Yet another CNN frameworkCode1
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentationCode1
LoG-VMamba: Local-Global Vision Mamba for Medical Image SegmentationCode1
Loss Functions in the Era of Semantic Segmentation: A Survey and OutlookCode1
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image SegmentationCode1
LV-UNet: A Lightweight and Vanilla Model for Medical Image SegmentationCode1
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking SystemsCode1
M^4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of ExpertsCode1
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Deep Instruction Tuning for Segment Anything ModelCode1
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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