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Gui Zhou University
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「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
A pytorch reimplementation of Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition in Resnet.
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Code for Statistically-motivated Second-order Pooling, ECCV2018
BenJamesbabala / SAN-1
Forked from daitao/SANSecond-order Attention Network for Single Image Super-resolution (CVPR-2019)
msj905 / ban-vqa
Forked from jnhwkim/ban-vqaBilinear attention networks for visual question answering
Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Global Second-order Pooling Convolutional Networks (cvpr2019 GSoP)
@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
Implementation of our proposed algorithm in domain adaptation for image classification
MATLAB code for ECML 2018 paper on "Unified Framework for Domain Adaptation using Metric Learning on Manifolds"
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
A real-time facial expression recognition system with webcam streaming and CNN
Gaussian-Based Pooling for Convolutional Neural Networks
Facial Expression Recognition by Convolutional Neural Network(Keras), real time recognition with OpenCV, Final Project for Deep Learning Fall 2018@GWU
A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ganin15.pdf).And i reali…
PyTorch Implementation of Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis