├── BMVC2020 ├── BMVC2020_Wolpert_FusionCSPNet_Detections_KAIST_All.txt └── BMVC2020_Wolpert_FusionCSPNet_Detections_KAIST_Reasonable.txt ├── CVPRW2017 └── CVPR2017_Koenig_FusionRPNBF_Detections_KAIST_Reasonable.mat ├── LICENSE └── README.md /CVPRW2017/CVPR2017_Koenig_FusionRPNBF_Detections_KAIST_Reasonable.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/HensoldtOptronicsCV/MultispectralPedestrianDetection/eb2f7914d2bde1f047d0f702e7da96ba2cc23e6d/CVPRW2017/CVPR2017_Koenig_FusionRPNBF_Detections_KAIST_Reasonable.mat -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 HENSOLDT 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Multispectral Pedestrian Detection 2 | In this repository we provide the detections that we used to generate our plots for the papers "Fully Convolutional Region Proposal Networks for Multispectral Person Detection" by König et al., IEEE CVPR Workshops 2017, and "Anchor-free Small-scale Multispectral 3 | Pedestrian Detection" by Wolpert et al., BMVC 2020. 4 | 5 | Here are the direct links to the papers:\ 6 | [König et al. CVPRW 2017](https://openaccess.thecvf.com/content_cvpr_2017_workshops/w3/html/Konig_Fully_Convolutional_Region_CVPR_2017_paper.html) \ 7 | [Wolpert et al. BMVC 2020](https://arxiv.org/abs/2008.08418) 8 | 9 | All detections were generated on the KAIST Multispectral Pedestrian Detection Benchmark test subset. The detections of our Fusion RPN+BF approach were calculated for the "Reasonable" test subset only and can be found as Matlab-file in the folder "CVPRW2017". The detections of our Fusion CSPNet approach were calculated for the "Reasonable" and the "All" test subset and can be found as txt-files (blank separated values) in the folder "BMVC2020". 10 | 11 | ## Cite us 12 | If you use the detections or the findings of our paper, then please cite us: 13 | 14 | @InProceedings{WolpertBMVC2020, 15 | Title = {{Anchor-free Small-scale Multispectral Pedestrian Detection}}, 16 | Author = {Alexander Wolpert and Michael Teutsch and {M. Saquib} Sarfraz and Rainer Stiefelhagen}, 17 | Booktitle = {British Machine Vision Conference (BMVC)}, 18 | Year = {2020} 19 | } 20 | 21 | @InProceedings{KoenigCVPRW2017, 22 | Title = {{Fully Convolutional Region Proposal Networks for Multispectral Person Detection}}, 23 | Author = {Daniel K{\\"o}nig and Michael Adam and Christian Jarvers and Georg Layher and Heiko Neumann and Michael Teutsch}, 24 | Booktitle = {IEEE CVPR Workshops}, 25 | Year = {2017} 26 | } 27 | --------------------------------------------------------------------------------