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 726750 of 5035 papers

TitleStatusHype
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
Attentive Symmetric Autoencoder for Brain MRI SegmentationCode1
BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image SegmentationCode1
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird SoundsCode1
Attention U-Net: Learning Where to Look for the PancreasCode1
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image SegmentationCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAMCode1
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image SegmentationCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Disentangled Representations for Domain-generalized Cardiac SegmentationCode1
Masked Event Modeling: Self-Supervised Pretraining for Event CamerasCode1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
MasQCLIP for Open-Vocabulary Universal Image SegmentationCode1
MatchSeg: Towards Better Segmentation via Reference Image MatchingCode1
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion ModelsCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
ACCT is a fast and accessible automatic cell counting tool using machine learning for 2D image segmentationCode1
DivergentNets: Medical Image Segmentation by Network EnsembleCode1
Hematoxylin and eosin stained oral squamous cell carcinoma histological images datasetCode1
DocSegTr: An Instance-Level End-to-End Document Image Segmentation TransformerCode1
MCF: Mutual Correction Framework for Semi-Supervised Medical Image SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
Hierarchical Image Peeling: A Flexible Scale-space Filtering FrameworkCode1
Show:102550
← PrevPage 30 of 202Next →

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