ZivenWangz's starred repositories

MCDA

MCDA

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FGRM-AMOD

FGRM-AMOD: An Adaptive Multi-View Outlier Detection Algorithm based on Fuzzy Rough Set Multi-Granularity(2024,Code)

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TP-MNet

Twisted Information Sharing Pattern-Based Multi-Branch Network for Semantic Segmentation of Medical Images

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FGH-UNet

In 2022, Tsinghua University in conjunction with Meta AI proposed a pluggable module mechanism called HorBlock. Based on this, we developed a U-shaped codec network for medical images, called FGH-UNet.

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MPFE-Net

A Semantic Segmentation Model Based on Partitioning Ideas for the Medical Imaging Field

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CLAC-Net

Improving Accuracy in the Analysis of Medical Images via Cross-Layer Fusion and Asymmetric Connections

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SSCU-Net

Shallow Super Convolution U-shaped Net

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MBP-SSNet

Multi-Bottleneck Progressive Semantic Segmentation Network

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DBUNet

Dual-Decoding Branch U-shaped Net

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VET-FF-Net

A ViT-optimized network for general lesion segmentation

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MMTU-Net

A semantic segmentation method that employs a U-shaped network, integrating multi-level and multi-scale feature fusion, while also incorporating Transformer for enhanced performance.

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MIR-CSNet

A semantic segmentation network for medical images based on channel split and integrating differentiated information

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DM-DICNet

A tri-encoder, dual-decoder semantic segmentation network employs destructive information processing to differentially extract deep information, designed for medical image analysis.

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Tri-GFN

A Tri-Learn network structure for attributed graph clustering

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minepy

minepy - Maximal Information-based Nonparametric Exploration

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Anomaly-Detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

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MFGAD

MFGAD: Multi-Fuzzy Granules Anomaly Detection (Information Fusion, 2023, Code)-MFGAD

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MFIOD

Codes and datasets for the paper "Fusing multi-scale fuzzy information to detect outliers".

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awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

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mnist

Python utilities to download and parse the MNIST dataset

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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Multi-view-datasets

Collection of commonly used multi-view datasets.

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awesome-multi-view-datasets

A collection of multi-view datasets

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MultiView_Depth_Dataset_Generator

This project is prepared for converting your 3D model dataset to a multi-view dataset

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multi-view-datasets

multi-view datasets and incomplete settings multi-view datasets.

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