From ad893908bff131f4de4a908d2c8189a8795670ce Mon Sep 17 00:00:00 2001 From: ShqWW Date: Tue, 3 Sep 2024 10:19:57 +0800 Subject: [PATCH] update --- main.bbl | 11 +++++++++++ main.tex | 2 +- reference.bib | 16 ++++++++++++++++ 3 files changed, 28 insertions(+), 1 deletion(-) diff --git a/main.bbl b/main.bbl index cb2d662..eb98dbe 100644 --- a/main.bbl +++ b/main.bbl @@ -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 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} 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 diff --git a/main.tex b/main.tex index 1191ae5..04fa3d3 100644 --- a/main.tex +++ b/main.tex @@ -452,7 +452,7 @@ It should be noted that the O2O cls head depends on the predictons of O2M cls he \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] \centering diff --git a/reference.bib b/reference.bib index a2d0835..07b11b0 100644 --- a/reference.bib +++ b/reference.bib @@ -424,4 +424,20 @@ 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} } \ No newline at end of file