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 14011425 of 5035 papers

TitleStatusHype
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shiftsCode0
A New Perspective to Boost Performance Fairness for Medical Federated LearningCode0
Boundary Loss for Remote Sensing Imagery Semantic SegmentationCode0
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image SegmentationCode0
Localized Adaptive Risk ControlCode0
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image SegmentationCode0
A New Ensemble Learning Framework for 3D Biomedical Image SegmentationCode0
LiteSeg: A Novel Lightweight ConvNet for Semantic SegmentationCode0
A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight ComputersCode0
LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel SegmentationCode0
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and VectorsCode0
Lightweight integration of 3D features to improve 2D image segmentationCode0
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result FusionCode0
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point CloudsCode0
Boundary-aware Context Neural Network for Medical Image SegmentationCode0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
Light-Weight RefineNet for Real-Time Semantic SegmentationCode0
Boundary and Entropy-driven Adversarial Learning for Fundus Image SegmentationCode0
Bottom-Up Shift and Reasoning for Referring Image SegmentationCode0
Leveraging Self-supervised Denoising for Image SegmentationCode0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape DescriptorCode0
Boosting Medical Image Segmentation Performance with Adaptive Convolution LayerCode0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI SegmentationCode0
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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