All Projects → jiaxue1993 → DAIN

jiaxue1993 / DAIN

Licence: other
Code release for "Differential Angular Imaging for Material Recognition", CVPR 2017.

Programming Languages

matlab
3953 projects
Cuda
1817 projects
C++
36643 projects - #6 most used programming language
c
50402 projects - #5 most used programming language
shell
77523 projects

Projects that are alternatives of or similar to DAIN

pytorch-material-classification
Material Classification with Convolutional Networks in PyTorch
Stars: ✭ 43 (+168.75%)
Mutual labels:  gtos
MatConvNet-oneclick
Train your own data with MatConvNet
Stars: ✭ 84 (+425%)
Mutual labels:  matconvnet
FastAP-metric-learning
Code for CVPR 2019 paper "Deep Metric Learning to Rank"
Stars: ✭ 93 (+481.25%)
Mutual labels:  matconvnet
cnn-for-image-retrieval
🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
Stars: ✭ 623 (+3793.75%)
Mutual labels:  matconvnet
Machine-Learning-in-Medical-Imaging--U-Net
TUM_MLMI_SS16: Convolutional Neural Network using U-Net architecture to predict one modality of a brain MRI scan from another modality.
Stars: ✭ 22 (+37.5%)
Mutual labels:  matconvnet
ICIP2018CDM
The ICIP2018 paper "Color Image Demosaicking using a 3-stage Convolutional Neural Network Structure"
Stars: ✭ 15 (-6.25%)
Mutual labels:  matconvnet
WSCNNTDSaliency
[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator
Stars: ✭ 19 (+18.75%)
Mutual labels:  matconvnet

DAIN

[Arxiv] [Project]

This repository contains the code for our CVPR 2017 paper:

Jia Xue, Hang Zhang, Kristin Dana, Ko Nishino
"Differential Angular Imaging for Material Recognition"
in Proc. CVPR 2017

Setup

Prerequisites

  • Ubuntu 14.04
  • NVIDIA GPU + CUDA CuDNN

Getting Started

  • Clone this repo:
git clone [email protected]:mrxue1993/DAIN.git
cd DAIN
  • Compile the code by running compile.m
  • Run runExperiment.m

Pretrained models

Datasets

You can find the database here

Acknowledgement

The code is heavily based on the twostreamfusion, it only supports single GPU, if you meet problem to run the code, please check here.

This work was supported by National Science Foundation award IIS-1421134. A GPU used for this research was donated by the NVIDIA Corporation. Thanks to Di Zhu, Hansi Liu, Lingyi Xu, and Yueyang Chen for help with data collection.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].