SOTAVerified

Segmentation

Papers

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Showing 7001–7025 of 13072 papers

TitleStatusHype
LLaFS: When Large Language Models Meet Few-Shot Segmentation—0
LlamaSeg: Image Segmentation via Autoregressive Mask Generation—0
Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging—0
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss—0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images—0
Automated Ensemble-Based Segmentation of Adult Brain Tumors: A Novel Approach Using the BraTS AFRICA Challenge Data—0
CTI-Unet: Cascaded Threshold Integration for Improved U-Net Segmentation of Pathology Images—0
LMSeg: Unleashing the Power of Large-Scale Models for Open-Vocabulary Semantic Segmentation—0
Automated Detection of Regions of Interest for Brain Perfusion MR Images—0
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification—0
Local block-wise self attention for normal organ segmentation—0
Local Context Attention for Salient Object Segmentation—0
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis—0
Interclass Prototype Relation for Few-Shot Segmentation—0
CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network—0
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation—0
A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition—0
Interactive Video Object Segmentation in the Wild—0
Localized Interactive Instance Segmentation—0
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation—0
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
Interactive segmentation using U-Net with weight map and dynamic user interactions—0
Interactive Segmentation on RGBD Images via Cue Selection—0
CTG-Net: An Efficient Cascaded Framework Driven by Terminal Guidance Mechanism for Dilated Pancreatic Duct Segmentation—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