https://github.com/YimianDai/sirst

A dataset constructed for single-frame infrared small target detection
https://github.com/YimianDai/sirst

Last synced: about 1 month ago
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A dataset constructed for single-frame infrared small target detection

• Host: GitHub
• URL: https://github.com/YimianDai/sirst
• Owner: YimianDai
• Created: 2020-06-09T01:06:22.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2023-09-08T20:52:50.000Z (10 months ago)
• Last Synced: 2023-11-07T20:17:38.573Z (8 months ago)
• Homepage:
• Size: 46.2 MB
• Stars: 128
• Watchers: 2
• Forks: 29
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

Lists

• awesome-object-detection-datasets - SIRST

README

        
Single-frame InfraRed Small Target (SIRST) Benchmark

==============

A dataset proposed in "Asymmetric Contextual Modulation for Infrared Small Target Detection" 

**Update**:

- The improved version, SIRST v2, has been released. Please visit  to check the new dataset.

- The name of this dataset series is 'SIRST' and 'SIRST v2'. Please don't call it as 'NUAA-SIRST'.

## Dataset Description

SIRST is a dataset specially constructed for **single-frame** infrared small target detection, in which the images are selected from hundreds of infrared sequences for different scenarios. 

![image](./gallery.png)

![annotation](./annotation.png)

The bounding box and semantic segmentation annotations are available now. The rest annotation forms will come soon.











## Learderboard

The full learderboard will come soon. 

A comparison of 19 methods can be found at .

## Toolkit

The full toolkit will come soon. 

Some implementations of our proposed methods can be found at [DENTIST](https://github.com/YimianDai/DENTIST), [ACM](https://github.com/YimianDai/open-acm), and [ALCNet](https://github.com/YimianDai/open-alcnet).

## Citation

Please cite our paper in your publications if our work helps your research. BibTeX reference is as follows.

```

@article{TGRS23OSCAR,

  author    = {{Dai}, Yimian and {Li}, Xiang and {Zhou}, Fei and {Qian}, Yulei and {Chen}, Yaohong and {Yang}, Jian },

  title   = {{One-Stage Cascade Refinement Networks for Infrared Small Target Detection}},

  journal = {IEEE Transactions on Geoscience and Remote Sensing},

  pages   = {1--17},

  year    = {2023},

}

Y Dai, X Li, F Zhou, Y Qian, Y Chen, J Yang

IEEE Transactions on Geoscience and Remote Sensing 61, 1-17

@article{TGRS21ALCNet,

  author    = {{Dai}, Yimian and {Wu}, Yiquan and {Zhou}, Fei and {Barnard}, Kobus},

  title   = {{Attentional Local Contrast Networks for Infrared Small Target Detection}},

  journal = {IEEE Transactions on Geoscience and Remote Sensing},

  pages   = {1--12},

  year    = {2021},

}

@inproceedings{dai21acm,

  title   =  {Asymmetric Contextual Modulation for Infrared Small Target Detection},

  author  =  {Yimian Dai and Yiquan Wu and Fei Zhou and Kobus Barnard},

  booktitle =  {{IEEE} Winter Conference on Applications of Computer Vision, {WACV} 2021}

  year    =  {2021}

}

```