Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing

16 December 2021

Papers citing "Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing"

7 / 7 papers shown

Title
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 26 5 0 10 Jul 2024
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 21 1 0 09 Dec 2022
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing Giulio Mattolin Luca Zanella Elisa Ricci Yiming Wang ObjD 27 40 0 20 Oct 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 51 18 0 21 Mar 2022
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Siyuan Li Zicheng Liu Zedong Wang Di Wu Zihan Liu Stan Z. Li 20 26 0 30 Nov 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 26 78 0 13 Jun 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017