BiaSwap: Removing dataset bias with bias-tailored swapping augmentation

23 August 2021

Papers citing "BiaSwap: Removing dataset bias with bias-tailored swapping augmentation"

10 / 60 papers shown

Title
Improving Evaluation of Debiasing in Image Classification Jungsoo Lee Juyoung Lee Sanghun Jung Jaegul Choo 11 0 0 08 Jun 2022
Mitigating Dataset Bias by Using Per-sample Gradient Sumyeong Ahn Seongyoon Kim Se-Young Yun 38 20 0 31 May 2022
Revisiting the Importance of Amplifying Bias for Debiasing Jungsoo Lee Jeonghoon Park Daeyoung Kim Juyoung Lee E. Choi Jaegul Choo 32 21 0 29 May 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha Kushal Kafle Christopher Kanan CML 16 13 0 05 Apr 2022
On Modality Bias Recognition and Reduction Yangyang Guo Liqiang Nie Harry Cheng Zhiyong Cheng Mohan S. Kankanhalli A. Bimbo 14 25 0 25 Feb 2022
General Greedy De-bias Learning Xinzhe Han Shuhui Wang Chi Su Qingming Huang Qi Tian 11 7 0 20 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector Johannes Gilg Torben Teepe Fabian Herzog Gerhard Rigoll ObjD 16 4 0 03 Dec 2021
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 17 7 0 02 Dec 2021
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 6 8 0 25 Nov 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018