\begin{thebibliography}{36}
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\bibitem[Belharbi et~al.(2022{\natexlab{a}})Belharbi, Pedersoli, Ben~Ayed, McCaffrey, and Granger]{negev}
S.~Belharbi, M.~Pedersoli, I.~Ben~Ayed, L.~McCaffrey, and E.~Granger.
\newblock Negative evidence matters in interpretable histology image classification.
\newblock In \emph{MIDL}, 2022{\natexlab{a}}.

\bibitem[Belharbi et~al.(2022{\natexlab{b}})Belharbi, Rony, Dolz, Ben~Ayed, McCaffrey, and Granger]{belharbi2022minmaxuncer}
S.~Belharbi, J.~Rony, J.~Dolz, I.~Ben~Ayed, L.~McCaffrey, and E.~Granger.
\newblock Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty.
\newblock \emph{TMI}, 41:\penalty0 702--714, 2022{\natexlab{b}}.

\bibitem[Belharbi et~al.(2022{\natexlab{c}})Belharbi, Sarraf, Pedersoli, Ayed, McCaffrey, and Granger]{fcam}
S.~Belharbi, A.~Sarraf, M.~Pedersoli, I.~Ben Ayed, L.~McCaffrey, and E.~Granger.
\newblock {F-CAM}: Full resolution class activation maps via guided parametric upscaling.
\newblock In \emph{WACV}, 2022{\natexlab{c}}.

\bibitem[Belharbi et~al.(2023)Belharbi, Ben~Ayed, McCaffrey, and Granger]{belharbi23tcam}
S.~Belharbi, I.~Ben~Ayed, L.~McCaffrey, and E.~Granger.
\newblock Tcam: Temporal class activation maps for object localization in weakly-labeled unconstrained videos.
\newblock In \emph{WACV}, 2023.

\bibitem[Belharbi et~al.(2025)Belharbi, Murtaza, Pedersoli, Ben~Ayed, McCaffrey, and Granger]{belharbi25colocam}
S.~Belharbi, S.~Murtaza, M.~Pedersoli, I.~Ben~Ayed, L.~McCaffrey, and E.~Granger.
\newblock Colo-cam: Class activation mapping for object co-localization in weakly-labeled unconstrained videos.
\newblock \emph{PR}, 162:\penalty0 111358, 2025.

\bibitem[Chattopadhyay et~al.(2018)Chattopadhyay, Sarkar, Howlader, and Balasubramanian]{gradcampp}
A.~Chattopadhyay, A.~Sarkar, P.~Howlader, and V.~N. Balasubramanian.
\newblock Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks.
\newblock In \emph{WACV}, pages 839--847, 2018.

\bibitem[Choe et~al.(2020)Choe, Oh, Lee, Chun, Akata, and Shim]{choe2020evaluating}
J.~Choe, S.~J. Oh, S.~Lee, S.~Chun, Z.~Akata, and H.~Shim.
\newblock Evaluating weakly supervised object localization methods right.
\newblock In \emph{CVPR}, 2020.

\bibitem[Duda et~al.(2000)Duda, Hart, and Stork]{Duda2000separability}
R.O. Duda, P.E. Hart, and D.G. Stork.
\newblock \emph{Pattern Classification}.
\newblock Wiley-Interscience, 2 edition, November 2000.
\newblock ISBN 0471056693.

\bibitem[Durand et~al.(2017)Durand, Mordan, Thome, and Cord]{durand2017wildcat}
T.~Durand, T.~Mordan, N.~Thome, and M.~Cord.
\newblock Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation.
\newblock In \emph{CVPR}, 2017.

\bibitem[Ehteshami~Bejnordi et~al.(2017)Ehteshami~Bejnordi, Veta, Johannes~van Diest, et~al.]{camelyon2016paper}
B.~Ehteshami~Bejnordi, M.~Veta, P.~Johannes~van Diest, et~al.
\newblock {Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer }.
\newblock \emph{JAMA}, 318\penalty0 (22):\penalty0 2199--2210, 2017.

\bibitem[Gao et~al.(2021)Gao, Wan, Pan, Peng, Tian, Han, Zhou, and Ye]{tscam}
W.~Gao, F.~Wan, X.~Pan, Z.~Peng, Q.~Tian, Z.~Han, B.~Zhou, and Q.~Ye.
\newblock {TS-CAM:} token semantic coupled attention map for weakly supervised object localization.
\newblock In \emph{ICCV}, 2021.

\bibitem[Guichemerre et~al.(2024)Guichemerre, Belharbi, Mayet, Murtaza, Shamsolmoali, McCaffrey, and Granger]{sfdawsol}
A.~Guichemerre, S.~Belharbi, T.~Mayet, S.~Murtaza, P.~Shamsolmoali, L.~McCaffrey, and E.~Granger.
\newblock Source-free domain adaptation of weakly-supervised object localization models for histology.
\newblock In \emph{CVPRw}, 2024.

\bibitem[Ilse et~al.(2018)Ilse, Tomczak, and Welling]{deepmil}
M.~Ilse, J.~M. Tomczak, and M.~Welling.
\newblock Attention-based deep multiple instance learning.
\newblock In \emph{ICML}, 2018.

\bibitem[Jiang et~al.(2021)Jiang, Zhang, Hou, Cheng, and Wei]{layercam}
P.-T. Jiang, C.-B. Zhang, Q.~Hou, M.-M. Cheng, and Y.~Wei.
\newblock Layercam: Exploring hierarchical class activation maps for localization.
\newblock \emph{TMI}, 30:\penalty0 5875--5888, 2021.

\bibitem[Khalsa et~al.(2020)Khalsa, Hollon, Adapa, Urias, Srinivasan, Jairath, Szczepanski, Ouillette, Camelo-Piragua, and Orringer]{khalsa2020automated}
S.S.S. Khalsa, T.C. Hollon, A.~Adapa, E.~Urias, S.~Srinivasan, N.~Jairath, J.~Szczepanski, P.~Ouillette, S.~Camelo-Piragua, and D.A. Orringer.
\newblock Automated histologic diagnosis of cns tumors with machine learning.
\newblock \emph{CNS oncology}, 9\penalty0 (2):\penalty0 CNS56, 2020.

\bibitem[Krizhevsky et~al.(2012)Krizhevsky, Sutskever, and Hinton]{ImageNet}
A.~Krizhevsky, I.~Sutskever, and G.E. Hinton.
\newblock Imagenet classification with deep convolutional neural networks.
\newblock In \emph{NeurIPS}, 2012.

\bibitem[Murtaza et~al.(2022)Murtaza, Belharbi, Pedersoli, Sarraf, and Granger]{murtaza2022dipssypo}
S.~Murtaza, S.~Belharbi, M.~Pedersoli, A.~Sarraf, and E.~Granger.
\newblock Constrained sampling for class-agnostic weakly supervised object localization.
\newblock In \emph{Montreal AI symposium}, 2022.

\bibitem[Murtaza et~al.(2023{\natexlab{a}})Murtaza, Belharbi, Pedersoli, Sarraf, and Granger]{Murtaza2023dips}
S.~Murtaza, S.~Belharbi, M.~Pedersoli, A.~Sarraf, and E.~Granger.
\newblock Dips: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization.
\newblock \emph{IMAVIS}, page 104838, 2023{\natexlab{a}}.

\bibitem[Murtaza et~al.(2023{\natexlab{b}})Murtaza, Belharbi, Pedersoli, Sarraf, and Granger]{murtaza2022dips}
S.~Murtaza, S.~Belharbi, M.~Pedersoli, A.~Sarraf, and E.~Granger.
\newblock Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization.
\newblock \emph{WACVw}, abs/2209.09209, 2023{\natexlab{b}}.

\bibitem[Murtaza et~al.(2024)Murtaza, Belharbi, Pedersoli, and Granger]{rpwsol}
S.~Murtaza, S.~Belharbi, M.~Pedersoli, and E.~Granger.
\newblock A realistic protocol for evaluation of weakly supervised object localization.
\newblock In \emph{WACV}, 2024.

\bibitem[Murtaza et~al.(2025)Murtaza, Belharbi, Pedersoli, and Granger]{murtaza2025ted}
S.~Murtaza, S.~Belharbi, M.~Pedersoli, and E.~Granger.
\newblock Ted-loc: Text distillation for weakly supervised object localization.
\newblock \emph{CoRR}, 2025.

\bibitem[Neto et~al.(2024)Neto, Montezuma, Oliveira, Oliveira, Fraga, Monteiro, Monteiro, Ribeiro, Gon{\c{c}}alves, Reinhard, Zlobec, Pinto, and Cardoso]{neto24}
P.~C. Neto, D.~Montezuma, S.~P. Oliveira, D.~Oliveira, J.~Fraga, A.~Monteiro, J.~Monteiro, L.~Ribeiro, S.~Gon{\c{c}}alves, S.~Reinhard, I.~Zlobec, I.~M. Pinto, and J.~S. Cardoso.
\newblock An interpretable machine learning system for colorectal cancer diagnosis from pathology slides.
\newblock \emph{NPJ precision oncology}, 8\penalty0 (1):\penalty0 56, 2024.

\bibitem[Oquab et~al.(2015)Oquab, Bottou, Laptev, and Sivic]{oquab2015object}
M.~Oquab, L.~Bottou, I.~Laptev, and J.~Sivic.
\newblock Is object localization for free?-weakly-supervised learning with convolutional neural networks.
\newblock In \emph{CVPR}, 2015.

\bibitem[Ronneberger et~al.(2015)Ronneberger, Fischer, and Brox]{unet}
O.~Ronneberger, P.~Fischer, and T.~Brox.
\newblock U-net: Convolutional networks for biomedical image segmentation.
\newblock In \emph{MICCAI}, 2015.

\bibitem[Rony et~al.(2023)Rony, Belharbi, Dolz, Ben~Ayed, McCaffrey, and Granger]{rony23}
J.~Rony, S.~Belharbi, J.~Dolz, I.~Ben~Ayed, L.~McCaffrey, and E.~Granger.
\newblock Deep weakly-supervised learning methods for classification and localization in histology images: A survey.
\newblock \emph{MLBI}, 2:\penalty0 96--150, 2023.

\bibitem[Selvaraju et~al.(2020)Selvaraju, Cogswell, Das, Vedantam, Parikh, and Batra]{gradcam}
R.R. Selvaraju, M.~Cogswell, A.~Das, R.~Vedantam, D.~Parikh, and D.~Batra.
\newblock Grad-cam: Visual explanations from deep networks via gradient-based localization.
\newblock \emph{IJCV}, 128\penalty0 (2):\penalty0 336–359, 2020.

\bibitem[Sirinukunwattana et~al.(2015)Sirinukunwattana, Snead, and Rajpoot]{sirinukunwattana2015stochastic}
K.~Sirinukunwattana, D.RJ Snead, and N.M. Rajpoot.
\newblock A stochastic polygons model for glandular structures in colon histology images.
\newblock \emph{TMI}, 34\penalty0 (11):\penalty0 2366--2378, 2015.

\bibitem[Veta et~al.(2014)Veta, Pluim, Van~Diest, and Viergever]{Veta2014}
M.~Veta, J.P.W. Pluim, P.~J. Van~Diest, and M.A. Viergever.
\newblock Breast cancer histopathology image analysis: A review.
\newblock \emph{IEEE Transactions on Biomedical Engineering}, 61:\penalty0 1400--1411, 2014.

\bibitem[Wei et~al.(2021)Wei, Wang, Li, Wang, Zhou, and Cui]{wei2021shallowspol}
J.~Wei, Q.~Wang, Z.~Li, S.~Wang, S.~K. Zhou, and S.~Cui.
\newblock Shallow feature matters for weakly supervised object localization.
\newblock In \emph{CVPR}, 2021.

\bibitem[Wu et~al.(2023)Wu, Zhai, Cao, Luo, and Zha]{SAT}
P.~Wu, W.~Zhai, Y.~Cao, J.~Luo, and Z.-J. Zha.
\newblock Spatial-aware token for weakly supervised object localization.
\newblock In \emph{ICCV}, 2023.

\bibitem[Xu et~al.(2020)Xu, Walker, Liang, Tong, Xu, Su, and Karsan]{xu2020colorectal}
L.~Xu, B.~Walker, P.-I. Liang, Y.~Tong, C.~Xu, Y.C. Su, and A.~Karsan.
\newblock Colorectal cancer detection based on deep learning.
\newblock \emph{Journal of Pathology Informatics}, 11, 2020.

\bibitem[Zhang et~al.(2020)Zhang, Cao, and Wu]{zhang2020rethinking}
C.-L. Zhang, Y.-H. Cao, and J.~Wu.
\newblock Rethinking the route towards weakly supervised object localization.
\newblock In \emph{CVPR}, 2020.

\bibitem[Zhao et~al.(2023)Zhao, Ye, Wu, Shen, and Wan]{zhao2023generative}
Y.~Zhao, Q.~Ye, W.~Wu, C.~Shen, and F.~Wan.
\newblock Generative prompt model for weakly supervised object localization.
\newblock In \emph{CVPR}, 2023.

\bibitem[Zhou et~al.(2016)Zhou, Khosla, Lapedriza, Oliva, and Torralba]{zhou2016learning}
B.~Zhou, A.~Khosla, A.~Lapedriza, A.~Oliva, and A.~Torralba.
\newblock Learning deep features for discriminative localization.
\newblock In \emph{CVPR}, 2016.

\bibitem[Zhou(2017)]{zhou2017brief}
Z.-H. Zhou.
\newblock A brief introduction to weakly supervised learning.
\newblock \emph{National Science Review}, 5\penalty0 (1):\penalty0 44--53, 2017.

\bibitem[Zhu et~al.(2024)Zhu, She, Chen, Ren, and Lu]{zhu24}
L.~Zhu, Q.~She, Q.~Chen, Q.~Ren, and Y.~Lu.
\newblock Boosting weakly supervised object localization and segmentation with domain adaption.
\newblock \emph{IEEE TPAMI}, 2024.

\end{thebibliography}
