polarrcnn-thesis/reference.bib

@article{houghtransform,
  title={A survey of the Hough transform},
  author={Illingworth, John and Kittler, Josef},
  journal={Computer vision, graphics, and image processing},
  volume={44},
  number={1},
  pages={87--116},
  year={1988},
  publisher={Elsevier}
}

@article{cannyedge,
  title={A computational approach to edge detection},
  author={Canny, John},
  journal={IEEE Transactions on pattern analysis and machine intelligence},
  number={6},
  pages={679--698},
  year={1986},
  publisher={IEEE}
}

@inproceedings{kluge1995deformable,
  title={A deformable-template approach to lane detection},
  author={Kluge, Karl and Lakshmanan, Sridhar},
  booktitle={Proceedings of the Intelligent Vehicles' 95. Symposium},
  pages={54--59},
  year={1995},
  organization={IEEE}
}


@article{yolov10,
  title={Yolov10: Real-time end-to-end object detection},
  author={Wang, Ao and Chen, Hui and Liu, Lihao and Chen, Kai and Lin, Zijia and Han, Jungong and Ding, Guiguang},
  journal={arXiv preprint arXiv:2405.14458},
  year={2024}
}

@article{fasterrcnn,
  title={Faster R-CNN: Towards real-time object detection with region proposal networks},
  author={Ren, Shaoqing and He, Kaiming and Girshick, Ross and Sun, Jian},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={39},
  number={6},
  pages={1137--1149},
  year={2016},
  publisher={IEEE}
}

@inproceedings{clrnet,
  title={Clrnet: Cross layer refinement network for lane detection},
  author={Zheng, Tu and Huang, Yifei and Liu, Yang and Tang, Wenjian and Yang, Zheng and Cai, Deng and He, Xiaofei},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={898--907},
  year={2022}
}

@inproceedings{clrernet,
  title={CLRerNet: improving confidence of lane detection with LaneIoU},
  author={Honda, Hiroto and Uchida, Yusuke},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={1176--1185},
  year={2024}
}


@inproceedings{laneatt,
  title={Keep your eyes on the lane: Real-time attention-guided lane detection},
  author={Tabelini, Lucas and Berriel, Rodrigo and Paixao, Thiago M and Badue, Claudine and De Souza, Alberto F and Oliveira-Santos, Thiago},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={294--302},
  year={2021}
}

@inproceedings{adnet,
  title={Adnet: Lane shape prediction via anchor decomposition},
  author={Xiao, Lingyu and Li, Xiang and Yang, Sen and Yang, Wankou},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={6404--6413},
  year={2023}
}

@inproceedings{srlane,
  title={Sketch and Refine: Towards Fast and Accurate Lane Detection},
  author={Chen, Chao and Liu, Jie and Zhou, Chang and Tang, Jie and Wu, Gangshan},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={2},
  pages={1001--1009},
  year={2024}
}


@misc{tusimple,
  author = {{TuSimple}},
  title = {TuSimple Benchmark},
  year = {2020},
  url = {https://github.com/TuSimple/tusimple-benchmark/},
  note = {Accessed: September 2020}
}

@inproceedings{scnn,
  title={Spatial as deep: Spatial cnn for traffic scene understanding},
  author={Pan, Xingang and Shi, Jianping and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},
  volume={32},
  number={1},
  year={2018}
}

@inproceedings{curvelanes,
  title={Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending},
  author={Xu, Hang and Wang, Shaoju and Cai, Xinyue and Zhang, Wei and Liang, Xiaodan and Li, Zhenguo},
  booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XV 16},
  pages={689--704},
  year={2020},
  organization={Springer}
}

@inproceedings{llamas,
  title={Unsupervised labeled lane markers using maps},
  author={Behrendt, Karsten and Soussan, Ryan},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision workshops},
  pages={0--0},
  year={2019}
}

@article{dalnet,
  title={DALNet: A rail detection network based on dynamic anchor line},
  author={Yu, Zichen and Liu, Quanli and Wang, Wei and Zhang, Liyong and Zhao, Xiaoguang},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2024},
  publisher={IEEE}
}

@article{lanenet,
  title={Lanenet: Real-time lane detection networks for autonomous driving},
  author={Wang, Ze and Ren, Weiqiang and Qiu, Qiang},
  journal={arXiv preprint arXiv:1807.01726},
  year={2018}
}

@inproceedings{CondLaneNet,
  title={CondLaneNet: a top-to-down lane detection framework based on conditional convolution},
  author={Liu, Lizhe and Chen, Xiaohao and Zhu, Siyu and Tan, Ping},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={3773--3782},
  year={2021}
}

@inproceedings{ufld,
  title={Ultra fast structure-aware deep lane detection},
  author={Qin, Zequn and Wang, Huanyu and Li, Xi},
  booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XXIV 16},
  pages={276--291},
  year={2020},
  organization={Springer}
}

@article{ufldv2,
  title={Ultra fast deep lane detection with hybrid anchor driven ordinal classification},
  author={Qin, Zequn and Zhang, Pengyi and Li, Xi},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={46},
  number={5},
  pages={2555--2568},
  year={2022},
  publisher={IEEE}
}

@article{fololane,
  title={Ultra fast deep lane detection with hybrid anchor driven ordinal classification},
  author={Qin, Zequn and Zhang, Pengyi and Li, Xi},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={46},
  number={5},
  pages={2555--2568},
  year={2022},
  publisher={IEEE}
}

@article{ganet,
  title={GAnet: genetic algorithm platform for pipe network optimisation},
  author={Morley, MS and Atkinson, RM and Savi{\'c}, DA and Walters, GA},
  journal={Advances in engineering software},
  volume={32},
  number={6},
  pages={467--475},
  year={2001},
  publisher={Elsevier}
}

@inproceedings{polylanenet,
  title={Polylanenet: Lane estimation via deep polynomial regression},
  author={Tabelini, Lucas and Berriel, Rodrigo and Paixao, Thiago M and Badue, Claudine and De Souza, Alberto F and Oliveira-Santos, Thiago},
  booktitle={2020 25th International Conference on Pattern Recognition (ICPR)},
  pages={6150--6156},
  year={2021},
  organization={IEEE}
}

@inproceedings{bezierlanenet,
  title={Rethinking efficient lane detection via curve modeling},
  author={Feng, Zhengyang and Guo, Shaohua and Tan, Xin and Xu, Ke and Wang, Min and Ma, Lizhuang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={17062--17070},
  year={2022}
}


@article{yolox,
  title={YOLOX: Exceeding YOLO series in 2021},
  author={Zheng, Ge and Songtao, Liu and Feng, Wang and Zeming, Li and Jian, Sun and others},
  journal={arXiv preprint arXiv:2107.08430},
  year={2021},
  publisher={arXiv}
}

@inproceedings{lstr,
  title={End-to-end lane shape prediction with transformers},
  author={Liu, Ruijin and Yuan, Zejian and Liu, Tie and Xiong, Zhiliang},
  booktitle={Proceedings of the IEEE/CVF winter conference on applications of computer vision},
  pages={3694--3702},
  year={2021}
}

@inproceedings{detr,
  title={End-to-end object detection with transformers},
  author={Carion, Nicolas and Massa, Francisco and Synnaeve, Gabriel and Usunier, Nicolas and Kirillov, Alexander and Zagoruyko, Sergey},
  booktitle={European conference on computer vision},
  pages={213--229},
  year={2020},
  organization={Springer}
}

@inproceedings{o2o,
  title={What makes for end-to-end object detection?},
  author={Sun, Peize and Jiang, Yi and Xie, Enze and Shao, Wenqi and Yuan, Zehuan and Wang, Changhu and Luo, Ping},
  booktitle={International Conference on Machine Learning},
  pages={9934--9944},
  year={2021},
  organization={PMLR}
}

@inproceedings{relationnet,
  title={Relation networks for object detection},
  author={Hu, Han and Gu, Jiayuan and Zhang, Zheng and Dai, Jifeng and Wei, Yichen},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3588--3597},
  year={2018}
}

@article{date,
  title={Date: Dual assignment for end-to-end fully convolutional object detection},
  author={Chen, Yiqun and Chen, Qiang and Hu, Qinghao and Cheng, Jian},
  journal={arXiv preprint arXiv:2211.13859},
  year={2022}
}

@inproceedings{o3d,
  title={End-to-end object detection with fully convolutional network},
  author={Wang, Jianfeng and Song, Lin and Li, Zeming and Sun, Hongbin and Sun, Jian and Zheng, Nanning},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={15849--15858},
  year={2021}
}

@inproceedings{learnNMS,
  title={Learning non-maximum suppression},
  author={Hosang, Jan and Benenson, Rodrigo and Schiele, Bernt},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={4507--4515},
  year={2017}
}


@article{linecnn,
  title={Line-cnn: End-to-end traffic line detection with line proposal unit},
  author={Li, Xiang and Li, Jun and Hu, Xiaolin and Yang, Jian},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={21},
  number={1},
  pages={248--258},
  year={2019},
  publisher={IEEE}
}

@article{sparse,
  title={Sparse Laneformer},
  author={Liu, Ji and Zhang, Zifeng and Lu, Mingjie and Wei, Hongyang and Li, Dong and Xie, Yile and Peng, Jinzhang and Tian, Lu and Sirasao, Ashish and Barsoum, Emad},
  journal={arXiv preprint arXiv:2404.07821},
  year={2024}
}

@inproceedings{vil100,
  title={Vil-100: A new dataset and a baseline model for video instance lane detection},
  author={Zhang, Yujun and Zhu, Lei and Feng, Wei and Fu, Huazhu and Wang, Mingqian and Li, Qingxia and Li, Cheng and Wang, Song},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={15681--15690},
  year={2021}
}

@article{xu2022overview,
  title={Overview frequency principle/spectral bias in deep learning},
  author={Xu, Zhi-Qin John and Zhang, Yaoyu and Luo, Tao},
  journal={arXiv preprint arXiv:2201.07395},
  year={2022}
}

@inproceedings{stewart2016end,
  title={End-to-end people detection in crowded scenes},
  author={Stewart, Russell and Andriluka, Mykhaylo and Ng, Andrew Y},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={2325--2333},
  year={2016}
}


@inproceedings{yolact,
  title={Yolact: Real-time instance segmentation},
  author={Bolya, Daniel and Zhou, Chong and Xiao, Fanyi and Lee, Yong Jae},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={9157--9166},
  year={2019}
}

@article{alemi2016deep,
  title={Deep variational information bottleneck},
  author={Alemi, Alexander A and Fischer, Ian and Dillon, Joshua V and Murphy, Kevin},
  journal={arXiv preprint arXiv:1612.00410},
  year={2016}
}

@inproceedings{focal,
  title={Focal loss for dense object detection},
  author={Lin, Tsung-Yi and Goyal, Priya and Girshick, Ross and He, Kaiming and Doll{\'a}r, Piotr},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={2980--2988},
  year={2017}
}

@inproceedings{resnet,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}

@article{adam,
  title={Adam: A method for stochastic optimization},
  author={Kingma, Diederik P},
  journal={arXiv preprint arXiv:1412.6980},
  year={2014}
}

@inproceedings{dla,
  title={Deep layer aggregation},
  author={Yu, Fisher and Wang, Dequan and Shelhamer, Evan and Darrell, Trevor},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={2403--2412},
  year={2018}
}

@inproceedings{resa,
  title={Resa: Recurrent feature-shift aggregator for lane detection},
  author={Zheng, Tu and Fang, Hao and Zhang, Yi and Tang, Wenjian and Yang, Zheng and Liu, Haifeng and Cai, Deng},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},
  volume={35},
  number={4},
  pages={3547--3554},
  year={2021}
}

@article{bsnet,
  title={Bsnet: Lane detection via draw b-spline curves nearby},
  author={Chen, Haoxin and Wang, Mengmeng and Liu, Yong},
  journal={arXiv preprint arXiv:2301.06910},
  year={2023}
}

@inproceedings{eigenlanes,
  title={Eigenlanes: Data-driven lane descriptors for structurally diverse lanes},
  author={Jin, Dongkwon and Park, Wonhui and Jeong, Seong-Gyun and Kwon, Heeyeon and Kim, Chang-Su},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={17163--17171},
  year={2022}
}

@article{laneaf,
  title={Laneaf: Robust multi-lane detection with affinity fields},
  author={Abualsaud, Hala and Liu, Sean and Lu, David B and Situ, Kenny and Rangesh, Akshay and Trivedi, Mohan M},
  journal={IEEE Robotics and Automation Letters},
  volume={6},
  number={4},
  pages={7477--7484},
  year={2021},
  publisher={IEEE}
}

@inproceedings{enetsad,
  title={Learning lightweight lane detection cnns by self attention distillation},
  author={Hou, Yuenan and Ma, Zheng and Liu, Chunxiao and Loy, Chen Change},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={1013--1021},
  year={2019}
}

@inproceedings{pointlanenet,
  title={Pointlanenet: Efficient end-to-end cnns for accurate real-time lane detection},
  author={Chen, Zhenpeng and Liu, Qianfei and Lian, Chenfan},
  booktitle={2019 IEEE intelligent vehicles symposium (IV)},
  pages={2563--2568},
  year={2019},
  organization={IEEE}
}


@article{pss,
  title={Object detection made simpler by eliminating heuristic NMS},
  author={Zhou, Qiang and Yu, Chaohui},
  journal={IEEE Transactions on Multimedia},
  volume={25},
  pages={9254--9262},
  year={2023},
  publisher={IEEE}
}

@inproceedings{iouloss,
  title={Unitbox: An advanced object detection network},
  author={Yu, Jiahui and Jiang, Yuning and Wang, Zhangyang and Cao, Zhimin and Huang, Thomas},
  booktitle={Proceedings of the 24th ACM international conference on Multimedia},
  pages={516--520},
  year={2016}
}

@inproceedings{giouloss,
  title={Generalized intersection over union: A metric and a loss for bounding box regression},
  author={Rezatofighi, Hamid and Tsoi, Nathan and Gwak, JunYoung and Sadeghian, Amir and Reid, Ian and Savarese, Silvio},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={658--666},
  year={2019}
}


@article{sobel,
  title={Lane detection based on object segmentation and piecewise fitting},
  author={Mu, Chunyang and Ma, Xing},
  journal={TELKOMNIKA Indonesian Journal of Electrical Engineering},
  volume={12},
  number={5},
  pages={3491--3500},
  year={2014}
}

@article{mu2014lane,
  title={Lane detection based on object segmentation and piecewise fitting},
  author={Mu, Chunyang and Ma, Xing},
  journal={TELKOMNIKA Indonesian Journal of Electrical Engineering},
  volume={12},
  number={5},
  pages={3491--3500},
  year={2014}
}

@article{deephough,
  title={Deep hough transform for semantic line detection},
  author={Zhao, Kai and Han, Qi and Zhang, Chang-Bin and Xu, Jun and Cheng, Ming-Ming},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={44},
  number={9},
  pages={4793--4806},
  year={2021},
  publisher={IEEE}
}

@article{deformabledetr,
  title={Deformable detr: Deformable transformers for end-to-end object detection},
  author={Zhu, Xizhou and Su, Weijie and Lu, Lewei and Li, Bin and Wang, Xiaogang and Dai, Jifeng},
  journal={arXiv preprint arXiv:2010.04159},
  year={2020}
}

@inproceedings{dualassign,
  title={A dual weighting label assignment scheme for object detection},
  author={Li, Shuai and He, Chenhang and Li, Ruihuang and Zhang, Lei},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={9387--9396},
  year={2022}
}

@article{adas,
  title={Recent progress in road and lane detection: a survey},
  author={Bar Hillel, Aharon and Lerner, Ronen and Levi, Dan and Raz, Guy},
  journal={Machine vision and applications},
  volume={25},
  number={3},
  pages={727--745},
  year={2014},
  publisher={Springer}
}


@article{gnn,
  title={A comprehensive survey on graph neural networks},
  author={Wu, Zonghan and Pan, Shirui and Chen, Fengwen and Long, Guodong and Zhang, Chengqi and Philip, S Yu},
  journal={IEEE transactions on neural networks and learning systems},
  volume={32},
  number={1},
  pages={4--24},
  year={2020},
  publisher={IEEE}
}

@inproceedings{nms,
  title={Efficient non-maximum suppression},
  author={Neubeck, Alexander and Van Gool, Luc},
  booktitle={18th international conference on pattern recognition (ICPR'06)},
  volume={3},
  pages={850--855},
  year={2006},
  organization={IEEE}
}

@inproceedings{fpn,
  title={Feature pyramid networks for object detection},
  author={Lin, Tsung-Yi and Doll{\'a}r, Piotr and Girshick, Ross and He, Kaiming and Hariharan, Bharath and Belongie, Serge},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={2117--2125},
  year={2017}
}