SOTAVerified

Segmentation

Papers

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Showing 6651–6700 of 13072 papers

TitleStatusHype
D3S - A Discriminative Single Shot Segmentation Tracker—0
Enhancing Point Annotations with Superpixel and Confidence Learning Guided for Improving Semi-Supervised OCT Fluid Segmentation—0
Comprehensive Evaluation of OCT-based Automated Segmentation of Retinal Layer, Fluid and Hyper-Reflective Foci: Impact on Diabetic Retinopathy Severity Assessment—0
A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images—0
3D-QueryIS: A Query-based Framework for 3D Instance Segmentation—0
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting—0
Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study—0
Learning from SAM: Harnessing a Foundation Model for Sim2Real Adaptation by Regularization—0
D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation—0
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation—0
D2SL: Decouple Defogging and Semantic Learning for Foggy Domain-Adaptive Segmentation—0
Automated Resolution Selection for Image Segmentation—0
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets—0
Jansen-MIDAS: a multi-level photomicrograph segmentation software based on isotropic undecimated wavelets—0
Visually Consistent Hierarchical Image Classification—0
Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation—0
Learning Hyperbolic Representations for Unsupervised 3D Segmentation—0
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model—0
Learning Incrementally to Segment Multiple Organs in a CT Image—0
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model—0
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation—0
Nerve Block Target Localization and Needle Guidance for Autonomous Robotic Ultrasound Guided Regional Anesthesia—0
IVGF: The Fusion-Guided Infrared and Visible General Framework—0
It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos—0
Cystoid macular edema segmentation of Optical Coherence Tomography images using fully convolutional neural networks and fully connected CRFs—0
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study—0
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles—0
Iterative Utterance Segmentation for Neural Semantic Parsing—0
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images—0
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease—0
Learning Melanocytic Cell Masks from Adjacent Stained Tissue—0
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data—0
Iterative multi-path tracking for video and volume segmentation with sparse point supervision—0
Learning morphological operators for skin detection—0
Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI—0
Automated Peripancreatic Vessel Segmentation and Labeling Based on Iterative Trunk Growth and Weakly Supervised Mechanism—0
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images—0
Learning Multi-Class Segmentations From Single-Class Datasets—0
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning—0
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning—0
Iterative Learning for Instance Segmentation—0
Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting—0
Iterative Interaction Training for Segmentation Editing Networks—0
Iterative Instance Segmentation—0
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images—0
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes—0
CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence—0
CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM—0
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation—0
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified