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Contrastive Attention Maps for Self-supervised Co-localization.

, , , and . ICCV, page 2783-2792. IEEE, (2021)

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An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods., , , , , and . CoRR, (2020)Small Objects Matters in Weakly-supervised Semantic Segmentation., , , , and . WACV, page 413-422. IEEE, (2024)Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation., and . Computational Imaging, volume 9401 of SPIE Proceedings, page 94010L. IS&T/SPIE, (2015)CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features., , , , , and . ICCV, page 6022-6031. IEEE, (2019)Normalization Matters in Weakly Supervised Object Localization., , , and . ICCV, page 3407-3416. IEEE, (2021)Contrastive Attention Maps for Self-supervised Co-localization., , , and . ICCV, page 2783-2792. IEEE, (2021)Weakly Supervised Semantic Segmentation using Out-of-Distribution Data., , , , , and . CVPR, page 16876-16885. IEEE, (2022)Improved Techniques For Weakly-Supervised Object Localization., , and . CoRR, (2018)Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels., , , , , and . CVPR, page 2340-2350. Computer Vision Foundation / IEEE, (2021)Face Generation for Low-Shot Learning Using Generative Adversarial Networks., , , , , and . ICCV Workshops, page 1940-1948. IEEE Computer Society, (2017)