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nerminsamet authored Apr 15, 2021
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> [**HoughNet: Integrating near and long-range evidence for bottom-up object detection**](https://arxiv.org/abs/2007.02355),
> Nermin Samet, Samet Hicsonmez, [Emre Akbas](http://user.ceng.metu.edu.tr/~emre/),
> *ECCV 2020. ([arXiv pre-print](https://arxiv.org/abs/2007.02355))*
> *ECCV 2020. ([arXiv pre-print](https://arxiv.org/abs/2007.02355))*
Extended HoughNet with new tasks

> [**HoughNet: Integrating near and long-range evidence for visual detection**](https://arxiv.org/abs/2104.06773),
> [Nermin Samet](https://nerminsamet.github.io/), [Samet Hicsonmez](https://giddyyupp.github.io/), [Emre Akbas](http://user.ceng.metu.edu.tr/~emre/),
> *Under review at TPAMI. ([arXiv pre-print](https://arxiv.org/abs/2104.06773))*

## Updates

- (April, 2021) We extended the voting idea to the temporal domain by developing a new video object detection method.
- (April, 2021) We extended the voting idea to the temporal domain by developing a new video object detection method. Repo for the video object detection is coming soon.
- (April, 2021) We extended HoughNet with other visual detection tasks:
instance segmentation, keypoint detection and 3D object detection.
- (April, 2021) We improved the source code of HoughNet by increasing its modularity and
train speed.
- More details can be found in [arXiv pre-print](https://arxiv.org/abs/2104.06773).


## Summary
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> N. Samet, S. Hicsonmez, E. Akbas, "HoughNet: Integrating near and long-range evidence for bottom-up object detection",
> In European Conference on Computer Vision (ECCV), 2020.
> N. Samet, S. Hicsonmez, E. Akbas, "HoughNet: Integrating near and long-range evidence for visual detection",
> arXiv, 2021.
BibTeX entry:
```
@inproceedings{HoughNet,
Expand All @@ -108,3 +119,10 @@ BibTeX entry:
year = {2020},
}
```
```
@misc{HoughNet2021,
title={HoughNet: Integrating near and long-range evidence for visual detection},
author={Nermin Samet and Samet Hicsonmez and Emre Akbas},
year={2021},
}
```

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