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 17261750 of 5035 papers

TitleStatusHype
Visual Material Characteristics Learning for Circular HealthcareCode0
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
Grouping Boundary Proposals for Fast Interactive Image Segmentation0
AMLP:Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation0
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion ModelsCode0
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data0
TSI-Net: A Timing Sequence Image Segmentation Network for Intracranial Artery Segmentation in Digital Subtraction Angiography0
SAM3D: Segment Anything Model in Volumetric Medical ImagesCode1
Towards Comparable Knowledge Distillation in Semantic Image Segmentation0
M3D-NCA: Robust 3D Segmentation with Built-in Quality ControlCode1
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalizationCode0
DeepTriNet: A Tri-Level Attention Based DeepLabv3+ Architecture for Semantic Segmentation of Satellite Images0
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image SegmentationCode1
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image SegmentationCode0
Contrastive Grouping with Transformer for Referring Image SegmentationCode1
Unsupervised bias discovery in medical image segmentationCode0
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image SegmentationCode2
Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation0
Self-supervised Semantic Segmentation: Consistency over TransformationCode1
BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic SegmentationCode0
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image SegmentationCode0
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-LearningCode1
Shape of my heart: Cardiac models through learned signed distance functions0
Ref-Diff: Zero-shot Referring Image Segmentation with Generative ModelsCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
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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