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 10011025 of 5035 papers

TitleStatusHype
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Spatial-Frequency Dual Progressive Attention Network For Medical Image SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Conditional diffusion model with spatial attention and latent embedding for medical image segmentationCode1
SpecTr: Spectral Transformer for Hyperspectral Pathology Image SegmentationCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image SegmentationCode1
Diffusion Models for Implicit Image Segmentation EnsemblesCode1
Stepwise Feature Fusion: Local Guides GlobalCode1
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric UncertaintyCode1
STPNet: Scale-aware Text Prompt Network for Medical Image SegmentationCode1
Studying the Plasticity in Deep Convolutional Neural Networks using Random PruningCode1
3D-UCaps: 3D Capsules Unet for Volumetric Image SegmentationCode1
Disentangled Representations for Domain-generalized Cardiac SegmentationCode1
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image DatasetsCode1
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image SegmentationCode1
A Spatial Guided Self-supervised Clustering Network for Medical Image SegmentationCode1
DocSegTr: An Instance-Level End-to-End Document Image Segmentation TransformerCode1
SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of Lumbar Spine MRICode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationCode1
Active learning for medical image segmentation with stochastic batchesCode1
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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