# ASL

**Repository Path**: sing_jay_lee/ASL

## Basic Information

- **Project Name**: ASL
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-12-07
- **Last Updated**: 2021-12-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<p align="center">
<a href="https://layer6.ai/"><img src="https://github.com/layer6ai-labs/DropoutNet/blob/master/logs/logobox.jpg" width="180"></a>
</p>

## CVPR'21 Weakly Supervised Action Selection Learning in Video
[[paper](http://www.cs.toronto.edu/~guangweiyu/pdfs/CVPR2021_asl.pdf)]

Authors: [Jeremy Junwei Ma*](https://scholar.google.com/citations?user=LyoH1SMAAAAJ&hl=en), [Satya Krishna Gorti*](http://www.cs.toronto.edu/~satyag/), [Maksims Volkovs](http://www.cs.toronto.edu/~mvolkovs), [Guangwei Yu](http://www.cs.toronto.edu/~guangweiyu/)
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## Introduction
This repository contains the implementation of ASL (Action Selection Learning) on the THUMOS-14 dataset.

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## Environment
The python code is developed and tested on the following environment:
* Python 3.6
* Pytorch 1.4.0

Experiments on THUMOS-14 dataset were run on a single NVIDIA TITAN V GPU with 12 GB GPU memory.

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## Dataset

Download the THUMOS-14 dataset [here](http://crcv.ucf.edu/THUMOS14/download.html) to `DATA_PATH`

## Training

```
    bash ./scripts/train.sh DATA_PATH
```

## Inference

```
    bash ./scripts/inference.sh DATA_PATH
```

## Citation

If you find this code useful in your research, please cite the following paper:

    @inproceedings{ma2021asl,
      title={Weakly Supervised Action Selection Learning in Video},
      author={Ma, Junwei and Gorti, Satya Krishna and Volkovs, Maksims and Yu, Guangwei},
      booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      year={2021}
    }