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Segmentation

Papers

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Showing 7426–7450 of 13072 papers

TitleStatusHype
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning—0
Inductive Biases for Object-Centric Representations in the Presence of Complex Textures—0
Cross-connected Networks for Multi-task Learning of Detection and Segmentation—0
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior—0
A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography: MFP-Unet—0
Indoor Point Cloud Segmentation Using Iterative Gaussian Mapping and Improved Model Fitting—0
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior—0
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks—0
Cross-CBAM: A Lightweight network for Scene Segmentation—0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint—0
In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine—0
In defense of OSVOS—0
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images—0
Micro-Net: A unified model for segmentation of various objects in microscopy images—0
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches—0
Cross Attention Network for Semantic Segmentation—0
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus—0
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images—0
Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class—0
Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface—0
Incremental Learning on Food Instance Segmentation—0
Incremental Learning of Affix Segmentation—0
Midas Loop: A Prioritized Human-in-the-Loop Annotation for Large Scale Multilayer Data—0
Cross-adversarial local distribution regularization for semi-supervised medical image 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