Zijun Deng (zijundeng)

zijundeng

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Company:South China University of Technology

Location:Guangzhou, China

Home Page:https://zijundeng.github.io

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Zijun Deng's repositories

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

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R3Net

Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"

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BDRAR

Code for the ECCV 2018 paper "Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection"

Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

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DM2F-Net

Code for the ICCV 2019 paper "Deep Multi-Model Fusion for Single-Image Dehazing"

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adgpm

Rethinking Knowledge Graph Propagation for Zero-Shot Learning

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DANet

Dual Attention Network for Scene Segmentation

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Pytorch-Deeplab

DeepLab-ResNet rebuilt in Pytorch

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pytorch-saltnet

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

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Skill-Tree

🐼 准备秋招,欢迎来树上取果实

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Adaptive_Affinity_Fields

Adaptive Affinity Fields for Semantic Segmentation

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colorization-pytorch

PyTorch reimplementation of Interactive Deep Colorization

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CVPR18-SFTGAN

Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 版权所有,违权必究 Tan 2018.06

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DenseASPP

DenseASPP for Semantic Segmentation in Street Scenes

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DRIT

Learning diverse image-to-image translation from unpaired data

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IBN-Net

Instance-Batch Normalization Networks (ECCV2018)

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Kaggle_TGS2018_4th_solution

Kaggle TGS Salt Identification Challenge 2018 4th place code

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nn_encapsulation

Capsule research with our trivial contribution

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partialconv

A New Padding Scheme: Partial Convolution based Padding

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pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

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RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

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semseg

Semantic Segmentation in Pytorch

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signing-in-system

Signing system for our lab

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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