%0 Conference Paper %1 conf/ijcai/0002H22 %A Lee, Sangkyun %A Han, Sungmin %B IJCAI %D 2022 %E Raedt, Luc De %I ijcai.org %K dblp %P 3185-3191 %T Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration. %U http://dblp.uni-trier.de/db/conf/ijcai/ijcai2022.html#0002H22 %@ 978-1-956792-00-3

@inproceedings{conf/ijcai/0002H22, added-at = {2022-07-27T00:00:00.000+0200}, author = {Lee, Sangkyun and Han, Sungmin}, biburl = {https://www.bibsonomy.org/bibtex/2bd2454cb4ef6726d58de9f967fbfbaa1/dblp}, booktitle = {IJCAI}, crossref = {conf/ijcai/2022}, editor = {Raedt, Luc De}, ee = {https://doi.org/10.24963/ijcai.2022/442}, interhash = {8f1e33e060f1d6e5124c984e7dfcd875}, intrahash = {bd2454cb4ef6726d58de9f967fbfbaa1}, isbn = {978-1-956792-00-3}, keywords = {dblp}, pages = {3185-3191}, publisher = {ijcai.org}, timestamp = {2024-10-21T07:10:48.000+0200}, title = {Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration.}, url = {http://dblp.uni-trier.de/db/conf/ijcai/ijcai2022.html#0002H22}, year = 2022 }