ZhengJianwei2

ZhengJianwei2

Geek Repo

Company:Zhejiang University of Technology, China

Location:Hangzhou

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ZhengJianwei2's repositories

DMINet

Change Detection on Bi-temporal Remote Sensing Images using Dual-branch Multi-level Inter-temporal Network (TGARS 2023) [paper](https://ieeexplore.ieee.org/document/10034787) and [source_code](https://github.com/ZhengJianwei2/DMINet/)

MCNN-based_HSI_Classification

MCNN-CP:Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling (TGARS 2021); Oct-MCNN-HS:3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification With Limited Samples (Remote Sensing, 2021)

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ICIF-Net

ICIF-Net: Intra-Scale Cross-Interaction and Inter-Scale Feature Fusion Network for Bi-temporal Remote Sensing Images Change Detection (TGARS 2022) [paper](https://ieeexplore.ieee.org/document/9759285)

CASF-Net

CASF-Net: Cross-attention And Cross-scale Fusion Network for Medical Image Segmentation (Submitted)

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CTFINet

Building Change Detection using Cross-temporal Feature Interaction Network (ICASSP 2023)

HFTNN

Fast Tensor Nuclear Norm for Structured Low-Rank Visual Inpainting

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MADC

Truncated Low-Rank and Total p Variation Constrained Color Image Completion and its Moreau Approximation Algorithm

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TSCLR

Enhanced low-rank constraint for temporal subspace clustering and its acceleration scheme

WNSR

This is the code for 'Manifold Based Nonlocal Second-order Regularization for Hyperspectral Image Inpainting'

CICNet

ICME 2023: Compact Intertemporal Coupling Network for Remote Sensing Change Detection

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Chinese-Text-Classification-Pytorch

中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。

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NBNet_Pytorch

ReImplement of 'NBNet: Noise Basis Learning for Image Denoising with Subspace Projection' in Pytorch

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Zhengjianwei2.github.io

My personal homepage

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MobileOne

An Improved One millisecond Mobile Backbone

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SyFormer

SyFormer:Structure-Guided Synergism Transformer for Large-Portion Image Inpainting

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