Hao Zhang

bilinear-cnn. PyTorch implementation of bilinear CNN for fine-grained image recognition

blinear-cnn-faster. A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition

File. Reference Files

homepage. Hao Zhang's Homepage

ddt. Deep Descriptor Transforming for image retrieval

crow. Python implementation of CroW for unsupervised image retrieval

psychology. 心理学笔记

cpp-primer. Solution to C++ Primer, 5th edtion

fine-grained-baseline. Baseline results of fine-grained visual recognition

pwa. Python implementation of PWA for image retrieval.

vgg-16-bn. Train CIFAR-10 using VGG-16-BN, which gives 93.39% test set accuracy.

Introduction-to-Programming-with-MATLAB. Assignments of Introduction to Programming with MATLAB Course

emu. Assignment or Embedded System course

ufldl. Assignments of UFLDL

vbird-linux. 第13章 学习shell script

pytorch-utilities. Data loader and other utility files for PyTorch

dense_flow. Tools to extract dense optical flow from videos, based on OpenCV

cs231n. Assignments of cs231n Course

6.042-mathematics-for-computer-science. Code for MIT 6.042 Course

6.189. MIT 6.189 Assignments and Projects

6.s096-Effective-Programming-in-C-and-C-. Solution to assignments of MIT 6.s096 course

3D-ResNets-PyTorch. 3D ResNets for Action Recognition (CVPR 2018)