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main.bbl
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main.bbl
@ -223,6 +223,17 @@ D.~Bolya, C.~Zhou, F.~Xiao, and Y.~J. Lee, ``Yolact: Real-time instance
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A.~A. Alemi, I.~Fischer, J.~V. Dillon, and K.~Murphy, ``Deep variational
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A.~A. Alemi, I.~Fischer, J.~V. Dillon, and K.~Murphy, ``Deep variational
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information bottleneck,'' \emph{arXiv preprint arXiv:1612.00410}, 2016.
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information bottleneck,'' \emph{arXiv preprint arXiv:1612.00410}, 2016.
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\bibitem{iouloss}
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J.~Yu, Y.~Jiang, Z.~Wang, Z.~Cao, and T.~Huang, ``Unitbox: An advanced object
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detection network,'' in \emph{Proceedings of the 24th ACM international
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conference on Multimedia}, 2016, pp. 516--520.
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\bibitem{giouloss}
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H.~Rezatofighi, N.~Tsoi, J.~Gwak, A.~Sadeghian, I.~Reid, and S.~Savarese,
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``Generalized intersection over union: A metric and a loss for bounding box
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regression,'' in \emph{Proceedings of the IEEE/CVF conference on computer
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vision and pattern recognition}, 2019, pp. 658--666.
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\bibitem{focal}
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\bibitem{focal}
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T.-Y. Lin, P.~Goyal, R.~Girshick, K.~He, and P.~Doll{\'a}r, ``Focal loss for
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T.-Y. Lin, P.~Goyal, R.~Girshick, K.~He, and P.~Doll{\'a}r, ``Focal loss for
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dense object detection,'' in \emph{Proceedings of the IEEE international
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dense object detection,'' in \emph{Proceedings of the IEEE international
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2
main.tex
2
main.tex
@ -452,7 +452,7 @@ It should be noted that the O2O cls head depends on the predictons of O2M cls he
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\end{equation}
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\end{equation}
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\textbf{Label assignment and Cost function} We use the label assignment (SimOTA) similar to previous work \cite{clrnet}\cite{clrernet}. However, to make the function more compact and consistent with general object detection works \cite{ref3}, we have redefined the lane IoU. As illustrated in Fig. \ref{glaneiou}, the newly-defined lane IoU, which we refer to as GLaneIoU, is redefined as follows:
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\textbf{Label assignment and Cost function} We use the label assignment (SimOTA) similar to previous work \cite{clrnet}\cite{clrernet}. However, to make the function more compact and consistent with general object detection works \cite{iouloss}\cite{giouloss}, we have redefined the lane IoU. As illustrated in Fig. \ref{glaneiou}, the newly-defined lane IoU, which we refer to as GLaneIoU, is redefined as follows:
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\begin{figure}[t]
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\begin{figure}[t]
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\centering
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\centering
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@ -424,4 +424,20 @@
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pages={9254--9262},
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pages={9254--9262},
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year={2023},
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year={2023},
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publisher={IEEE}
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publisher={IEEE}
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}
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@inproceedings{iouloss,
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title={Unitbox: An advanced object detection network},
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author={Yu, Jiahui and Jiang, Yuning and Wang, Zhangyang and Cao, Zhimin and Huang, Thomas},
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booktitle={Proceedings of the 24th ACM international conference on Multimedia},
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pages={516--520},
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year={2016}
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}
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@inproceedings{giouloss,
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title={Generalized intersection over union: A metric and a loss for bounding box regression},
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author={Rezatofighi, Hamid and Tsoi, Nathan and Gwak, JunYoung and Sadeghian, Amir and Reid, Ian and Savarese, Silvio},
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booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
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pages={658--666},
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year={2019}
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}
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}
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