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Deep neural networks (DNNs) have shown unprecedented success in object detection tasks.
Label-consistent backdoor attacks
Turner, A.; Tsipras, D.; and Madry, A. 2019 · 1912
Earlier work this paper cites.
Spatial pyramid pooling in deep convolutional networks for visual recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2015 · 1916
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Yolov4: Optimal speed and accuracy of object detection
Bochkovskiy, A.; Wang, C.-Y.; and Liao, H.-Y. M. 2020 · 2004
Earlier work this paper cites.
The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results
Everingham, M.; Van Gool, L.; Williams, C. K. I.; Winn, J.; and Zisserman, A. 2007 · 2007
Earlier work this paper cites.
Deformable detr: Deformable transformers for end-to-end object detection
Zhu, X.; Su, W.; Lu, L.; Li, B.; Wang, X.; and Dai, J. 2020 · 2010
Earlier work this paper cites.
The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
Everingham, M.; Van Gool, L.; Williams, C. K. I.; Winn, J.; and Zisserman, A. 2012 · 2012
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Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, R.; Donahue, J.; Darrell, T.; and Malik, J. 2014 · 2014
Earlier work this paper cites.
Microsoft COCO: Common Objects in Context
Lin, T.; Maire, M.; Belongie, S. J.; Bourdev, L. D.; Girshick, R. B.; Hays, J.; Perona, P.; Ramanan, D.; Doll’a r, P.; and Zitnick, C. L. 2014 · 2014
Earlier work this paper cites.
Fast r-cnn
Girshick, R. 2015 · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Ren, S.; He, K.; Girshick, R.; and Sun, J. 2015 · 2015
Earlier work this paper cites.
Deep Residual Learning for Image Recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
Cited alongside, same era.
Darknet: Open Source Neural Networks in C
Redmon, J. 2013–2016 · 2016
Cited alongside, same era.
You only look once: Unified, real-time object detection
Redmon, J.; Divvala, S.; Girshick, R.; and Farhadi, A. 2016 · 2016
Cited alongside, same era.
Targeted backdoor attacks on deep learning systems using data poisoning
Chen, X.; Liu, C.; Li, B.; Lu, K.; and Song, D. 2017 · 2017
Cited alongside, same era.
YOLO9000: better, faster, stronger
Redmon, J.; and Farhadi, A. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
YOLOv5 by Ultralytics
Jocher, G. 2020 · 2020
Later among the works it cites.
Reflection backdoor: A natural backdoor attack on deep neural networks
Liu, Y.; Ma, X.; Bailey, J.; and Lu, F. 2020 · 2020
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Hidden trigger backdoor attacks
Saha, A.; Subramanya, A.; and Pirsiavash, H. 2020 · 2020
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Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Yu, F.; Chen, H.; Wang, X.; Xian, W.; Chen, Y.; Liu, F.; Madhavan, V.; and Darrell, T. 2020 · 2020
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BadDet: Backdoor Attacks on Object Detection
Chan, S.-H.; Dong, Y.; Zhu, J.; Zhang, X.; and Zhou, J. 2022 · 2022
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Backdoor learning: A survey
Li, Y.; Jiang, Y.; Li, Z.; and Xia, S.-T. 2022 · 2022
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Yolov3: An incremental improvement
Redmon, J.; and Farhadi, A. 2018 · 2018
Cited alongside, same era.
A new backdoor attack in cnns by training set corruption without label poisoning
Barni, M.; Kallas, K.; and Tondi, B. 2019 · 2019
Cited alongside, same era.
Badnets: Evaluating backdooring attacks on deep neural networks
Gu, T.; Liu, K.; Dolan-Gavitt, B.; and Garg, S. 2019 · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Carion, N.; Massa, F.; Synnaeve, G.; Usunier, N.; Kirillov, A.; and Zagoruyko, S. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Poisons that are learned faster are more effective
Sandoval-Segura, P.; Singla, V.; Fowl, L.; Geiping, J.; Goldblum, M.; Jacobs, D.; and Goldstein, T. 2022 · 2022
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Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Sha, Z.; He, X.; Berrang, P.; Humbert, M.; and Zhang, Y. 2022 · 2022
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YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Wang, C.-Y.; Bochkovskiy, A.; and Liao, H.-Y. M. 2022 · 2022
Later among the works it cites.
YOLO by Ultralytics
Jocher, G.; Chaurasia, A.; and Qiu, J. 2023 · 2023
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