KO
|
EN
gitlite — search
Search
#python
#java
#python3
#arduino
#golang
#machine-learning
#rust
#html
#flask
#javascript
#seismology
#nodejs
Youmakeup_Baseline
★ 20
Open GitHub ↗
No description available.
Download README (.md)
Explore Similar Repositories
docker-openlitespeed-php
:
# eXtremeSHOK.com Docker OpenLiteSpeed with php
MDT-Task-Sequence-Debugger
:
Task Sequence Debugger for MDT
phishPaste
:
Utility to copy templates, pages, and sending profiles between different Gophish accounts
docsify-js-template
:
Starter template for a Markdown-based docs site 📒 🕸
ajudaAnimal
:
Aplicação web e mobile para ONGS de animais postarem seus casos e receberem doações e ajudas.
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
Youmakeup_Baseline
?
Download (.md)
# Introduction This is baseline code for [YouMakeup VQA Challenge](https://languageandvision.github.io/youmakeup_vqa/index.html). For implementation details, please refer to [YouMakeup VQA Challenge: Towards Fine-grained Action Understanding inDomain-Specific Videos](http://note.youdao.com/). ## Image Ordering Baseline The Facial Image Ordering Sub-Challenge is to sort a set of facial images from a video into the correct order according to the given step descriptions, shown in the following figure. <div style="align: center"> <img src="./pics/image_ordering.png" > </div> We designed two baseline models for this task: - One is Image-only Ordering model (*Pair-wise*), to reproduce it, please refer to [./image_ordering/Pairwise ](https://github.com/AIM3-RUC/Youmakeup_Baseline/tree/master/image_ordering/Pairwise). - The other is Text-aware Image Ordering model (*TIRG*), to reproduce it, please refer to [./image_ordering/TIRG ](https://github.com/AIM3-RUC/Youmakeup_Baseline/tree/master/image_ordering/TIRG). The shared data preparation instructions for two models is at [./image_ordering](https://github.com/AIM3-RUC/Youmakeup_Baseline/tree/master/image_ordering). ## Step Ordering Baseline The Step Ordering Sub-Challenge is to sort a set of action descriptions into the right order according to the order of these actions in the video as shown in the following figure: <div style="align: center"> <img src="./pics/step_ordering.png" > </div> We prepared two kinds of baseline for this task. - One is Text-only Ordering, to reproduce it, please refer to [./step_ordering/Pairwise ](https://github.com/AIM3-RUC/Youmakeup_Baseline/tree/master/step_ordering/Pairwise). - The other is Video-aware Text Ordering, to reproduce it, please refer to [./step_ordering/SCDM_based](https://github.com/AIM3-RUC/Youmakeup_Baseline/tree/master/step_ordering/SCDM_based). ## Citation ``` @inproceedings{chen2020vqabaseline, title={YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos, author={Chen, Shizhe and Wang, Weiying and Ruan, Ludan and Yao, Linli and Jin, Qin}, year={2019} } ```