ZivenWangz

ZivenWangz's Stars

• YF-W/FGRM-AMOD

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

  Language:MATLAB3

• YF-W/TP-MNet

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

  Language:Python14

• YF-W/MSA-Unet

  Language:Python13

• YF-W/TlED-Net

  Language:Python10

• YF-W/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.

  Language:Python9

• YF-W/MPFE-Net

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

  Language:Python9

• YF-W/CLAC-Net

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

  Language:Python8

• YF-W/SSCU-Net

  Shallow Super Convolution U-shaped Net

  Language:Python13

• YF-W/MBP-SSNet

  Multi-Bottleneck Progressive Semantic Segmentation Network

  Language:Python10

• YF-W/DBUNet

  Dual-Decoding Branch U-shaped Net

  Language:Python15

• YF-W/VET-FF-Net

  A ViT-optimized network for general lesion segmentation

  Language:Python9

• YF-W/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.

  Language:Python9

• YF-W/LFFTNet

  Language:Python13

• YF-W/MIR-CSNet

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

  Language:Python10

• YF-W/DM-DICNet

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

  Language:Python10

• YF-W/Tri-GFN

  A Tri-Learn network structure for attributed graph clustering

  Language:Python15

• minepy/minepy

  minepy - Maximal Information-based Nonparametric Exploration

  Language:C21343

• miladesh1212/GBK-means-Clustering-Algorithm

  Language:MATLAB12

• Albertsr/Anomaly-Detection

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

  Language:Python27988

• BELLoney/MFGAD

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

  Language:Python3

• ChenBaiyang/MFIOD

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

  Language:Python42

• wangsiwei2010/awesome-multi-view-clustering

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

  504109

• datapythonista/mnist

  Python utilities to download and parse the MNIST dataset

  Language:Python13059

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.2k1.7k

• ChuanbinZhang/Multi-view-datasets

  Collection of commonly used multi-view datasets.

  111

• ishtiaqhucane/Multi-view-Datasets

  4

• mtics/awesome-multi-view-datasets

  A collection of multi-view datasets

  8

• arashk7/MultiView_Depth_Dataset_Generator

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

  Language:Python92

• Jeaninezpp/multi-view-datasets

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

  163

• yeqinglee/mvdata

  Data sets for multi-view learning.

  7929