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 25262550 of 5035 papers

TitleStatusHype
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation0
Source-Free Unsupervised Domain Adaptation with Norm and Shape Constraints for Medical Image Segmentation0
Mayfly optimization with deep learning enabled retinal fundus image classification model0
Self-Supervised Pretraining for 2D Medical Image SegmentationCode1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior0
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis DiagnosisCode1
Boundary-Aware Network for Kidney ParsingCode1
Segmentation of Parotid Gland Tumors Using Multimodal MRI and Contrastive Learning0
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression0
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image DenoisingCode0
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model0
Cats: Complementary CNN and Transformer Encoders for Segmentation0
ForestEyes Project: Conception, Enhancements, and Challenges0
Q-Net: Query-Informed Few-Shot Medical Image SegmentationCode1
Deep Structural Causal Shape Models0
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical ImageCode0
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image SegmentationCode0
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation0
Persuasion Strategies in AdvertisementsCode1
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationCode2
Low-light Enhancement Method Based on Attention Map Net0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for 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