zijundeng

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

BDRAR

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

R3Net

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

DM2F-Net

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

adgpm

Rethinking Knowledge Graph Propagation for Zero-Shot Learning

DANet

Dual Attention Network for Scene Segmentation

Pytorch-Deeplab

DeepLab-ResNet rebuilt in Pytorch

pytorch-saltnet

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

Skill-Tree

🐼 准备秋招，欢迎来树上取果实

zijundeng.github.io

Adaptive_Affinity_Fields

Adaptive Affinity Fields for Semantic Segmentation

Angular-Penalty-Softmax-Losses-Pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

colorization-pytorch

PyTorch reimplementation of Interactive Deep Colorization

CVPR18-SFTGAN

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

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

DenseASPP

DenseASPP for Semantic Segmentation in Street Scenes

DRIT

Learning diverse image-to-image translation from unpaired data

GNR-Net

IBN-Net

Instance-Batch Normalization Networks (ECCV2018)

Kaggle_TGS2018_4th_solution

Kaggle TGS Salt Identification Challenge 2018 4th place code

nn_encapsulation

Capsule research with our trivial contribution

ObjectDetection-OneStageDet

partialconv

A New Padding Scheme: Partial Convolution based Padding

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

RCAN

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

semseg

Semantic Segmentation in Pytorch

signing-in-system

Signing system for our lab

vit-pytorch

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

Yolo-pytorch