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 30013025 of 5035 papers

TitleStatusHype
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
ForestEyes Project: Conception, Enhancements, and Challenges0
Cats: Complementary CNN and Transformer Encoders for Segmentation0
Deep Structural Causal Shape Models0
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image SegmentationCode0
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical ImageCode0
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation0
Low-light Enhancement Method Based on Attention Map Net0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation0
Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI0
Estimating Appearance Models for Image Segmentation via Tensor FactorizationCode0
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation0
Joint reconstruction-segmentation on graphs0
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation0
TSRFormer: Table Structure Recognition with Transformers0
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
A neuromorphic approach to image processing and machine vision0
Distributed Contrastive Learning for Medical Image Segmentation0
Exploring the Effects of Data Augmentation for Drivable Area Segmentation0
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 20210
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Show:102550
← PrevPage 121 of 202Next →

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