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 35013525 of 5035 papers

TitleStatusHype
OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography StudyCode1
Information-Theoretic Segmentation by Inpainting Error MaximizationCode0
Meticulous Object SegmentationCode1
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding0
Annotation-efficient deep learning for automatic medical image segmentationCode1
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation0
Computer Stereo Vision for Autonomous Driving0
Offset Curves Loss for Imbalanced Problem in Medical Segmentation0
Domain Adaptation on Semantic Segmentation for Aerial Images0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration0
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks0
Grabber: A tool to improve convergence in interactive image segmentationCode1
Deep learning approach to left ventricular non-compaction measurementCode1
Inter-slice Context Residual Learning for 3D Medical Image SegmentationCode1
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data0
Modelling brain lesion volume in patches with CNN-based Poisson Regression0
Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity0
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation0
Argmax Flows: Learning Categorical Distributions with Normalizing Flows0
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
Segmentation overlapping wear particles with few labelled data and imbalance sample0
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation0
SoftSeg: Advantages of soft versus binary training for image segmentation0
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey0
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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