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@ -223,6 +223,17 @@ D.~Bolya, C.~Zhou, F.~Xiao, and Y.~J. Lee, ``Yolact: Real-time instance
A.~A. Alemi, I.~Fischer, J.~V. Dillon, and K.~Murphy, ``Deep variational A.~A. Alemi, I.~Fischer, J.~V. Dillon, and K.~Murphy, ``Deep variational
information bottleneck,'' \emph{arXiv preprint arXiv:1612.00410}, 2016. information bottleneck,'' \emph{arXiv preprint arXiv:1612.00410}, 2016.
\bibitem{iouloss}
J.~Yu, Y.~Jiang, Z.~Wang, Z.~Cao, and T.~Huang, ``Unitbox: An advanced object
detection network,'' in \emph{Proceedings of the 24th ACM international
conference on Multimedia}, 2016, pp. 516--520.
\bibitem{giouloss}
H.~Rezatofighi, N.~Tsoi, J.~Gwak, A.~Sadeghian, I.~Reid, and S.~Savarese,
``Generalized intersection over union: A metric and a loss for bounding box
regression,'' in \emph{Proceedings of the IEEE/CVF conference on computer
vision and pattern recognition}, 2019, pp. 658--666.
\bibitem{focal} \bibitem{focal}
T.-Y. Lin, P.~Goyal, R.~Girshick, K.~He, and P.~Doll{\'a}r, ``Focal loss for T.-Y. Lin, P.~Goyal, R.~Girshick, K.~He, and P.~Doll{\'a}r, ``Focal loss for
dense object detection,'' in \emph{Proceedings of the IEEE international dense object detection,'' in \emph{Proceedings of the IEEE international

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@ -452,7 +452,7 @@ It should be noted that the O2O cls head depends on the predictons of O2M cls he
\end{equation} \end{equation}
\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: \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:
\begin{figure}[t] \begin{figure}[t]
\centering \centering

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@ -425,3 +425,19 @@
year={2023}, year={2023},
publisher={IEEE} 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}
}