diff --git a/README.md b/README.md index c1e905a..4486355 100644 --- a/README.md +++ b/README.md @@ -4,15 +4,23 @@ Official PyTroch implementation of HoughNet. > [**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 @@ -99,6 +107,9 @@ If you find HoughNet useful for your research, please cite our paper as follows. > 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, @@ -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}, +} +```