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Road scene understanding is crucial in autonomous driving, enabling machines to perceive the visual environment.
“Are we ready for autonomous driving? the KITTI vision benchmark suite,”
Andreas Geiger, Philip Lenz, and Raquel Urtasun, · 2012
Earlier work this paper cites.
“Rich feature hierarchies for accurate object detection and semantic segmentation,”
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik, · 2014
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“Faster R-CNN: Towards real-time object detection with region proposal networks,”
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun, · 2015
Earlier work this paper cites.
“Fast R-CNN,”
Ross Girshick, · 2015
Earlier work this paper cites.
“The cityscapes dataset for semantic urban scene understanding,”
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele, · 2016
Earlier work this paper cites.
“SSD: Single shot multibox detector,”
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg, · 2016
Earlier work this paper cites.
“The mapillary vistas dataset for semantic understanding of street scenes,”
Gerhard Neuhold, Tobias Ollmann, Samuel Rota Bulo, and Peter Kontschieder, · 2017
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“Focal loss for dense object detection,”
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár, · 2017
Earlier work this paper cites.
“Mask R-CNN,”
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick, · 2017
Cited alongside, same era.
“CenterNet: Keypoint triplets for object detection,”
Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, and Qi Tian, · 2019
Cited alongside, same era.
“End-to-end object detection with transformers,”
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko, · 2020
Cited alongside, same era.
“BDD100K: A diverse driving dataset for heterogeneous multitask learning,”
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell, · 2020
Cited alongside, same era.
“Scalability in perception for autonomous driving: Waymo open dataset,”
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al., · 2020
Cited alongside, same era.
“DhakaAI,”
ASM Shihavuddin and Mohammad Rifat Ahmmad Rashid, · 2020
“Simple open-vocabulary object detection with vision Transformers,”
M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, A Dosovitskiy, A Mahendran, A Arnab, M Dehghani, Z Shen, et al., · 2022
Later among the works it cites.
“Detecting twenty-thousand classes using image-level supervision,”
Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, and Ishan Misra, · 2022
Later among the works it cites.
“Densely-populated traffic detection using YOLOv5 and non-maximum suppression ensembling,”
Raian Rahman, Zadid Bin Azad, and Bakhtiar Hasan, · 2022
Later among the works it cites.
“RTMDet: An empirical study of designing real-time object detectors,”
Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, Yudong Wang, Yanyi Liu, Shilong Zhang, and Kai Chen, · 2022
Later among the works it cites.
“A comprehensive review of YOLO: From YOLOv1 to YOLOv8 and beyond,”
Juan Terven and Diana Cordova-Esparza, · 2023
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Cited alongside, same era.
“Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification,”
Shaira Tabassum, Sabbir Ullah, Nakib Hossain Al-Nur, and Swakkhar Shatabda, · 2020
Cited alongside, same era.
“STAR: noisy semi-supervised transfer learning for visual classification,”
Hasib Zunair, Yan Gobeil, Samuel Mercier, and A. Ben Hamza, · 2021
Cited alongside, same era.
Later among the works it cites.
“Grounding DINO: Marrying DINO with grounded pre-training for open-set object detection,”
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, et al., · 2023
Later among the works it cites.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al., · 2023
Later among the works it cites.
“A deep learning based Bangladeshi vehicle classification using fine-tuned multi-class vehicle image network (MVINet) model,”
Tanvir Ahmed, Farzana Sharmin Mou, and Abu Anas Ibn Samad, · 2023
Later among the works it cites.