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 576600 of 5035 papers

TitleStatusHype
OneNet: A Channel-Wise 1D Convolutional U-NetCode1
Fast probabilistic snake algorithm0
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images0
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations0
Zero-shot capability of SAM-family models for bone segmentation in CT scans0
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation0
Image Segmentation from Shadow-Hints using Minimum Spanning Trees0
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal MechanismsCode0
Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waters0
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation0
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation0
A General Pipeline for Glomerulus Whole-Slide Image SegmentationCode0
Foundation AI Model for Medical Image Segmentation0
Region-Guided Attack on the Segment Anything Model (SAM)0
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation0
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks ClusteringCode0
Exploring PCA-based feature representations of image pixels via CNN to enhance food image segmentation0
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation0
ZIM: Zero-Shot Image Matting for AnythingCode3
MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image SegmentationCode1
Revisiting MAE pre-training for 3D medical image segmentation0
Compositional Segmentation of Cardiac Images Leveraging MetadataCode0
Benchmarking Human and Automated Prompting in the Segment Anything ModelCode0
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation0
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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