SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

2 June 2020

Papers citing "SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization"

50 / 56 papers shown

Title
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition Ryosuke Kawamura Hideaki Hayashi Noriko Takemura Hajime Nagahara CVBM 3DH 65 4 0 28 Feb 2025
Contrastive Visual Data Augmentation Yu Zhou B. Li Mohan Tang Xiaomeng Jin Te-Lin Wu Kuan-Hao Huang Heng Ji Kai-Wei Chang Nanyun Peng 59 0 0 24 Feb 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 181 1 0 14 Dec 2024
Improving Object Detection by Modifying Synthetic Data with Explainable AI Nitish Mital Simon Malzard Richard Walters Celso M. De Melo Raghuveer Rao Victoria Nockles 80 0 0 02 Dec 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 112 0 0 07 Oct 2024
Generalizable Prompt Tuning for Vision-Language Models Qian Zhang VLM VPVLM 52 0 0 04 Oct 2024
Adaptive Mix for Semi-Supervised Medical Image Segmentation Zhiqiang Shen Peng Cao Junming Su Jinzhu Yang Osmar R. Zaiane 51 0 0 31 Jul 2024
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 34 6 0 10 Jul 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition Sanglee Park Seung-won Hwang Jungmin So 48 0 0 04 Jun 2024
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision Yiting Dong Xiang He Guobin Shen Dongcheng Zhao Yang Li Yi Zeng 43 0 0 29 May 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification Xin Jin Hongyu Zhu M. El-Yacoubi Hongchao Liao Huafeng Qin Yun Jiang 39 6 0 21 May 2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series Tien-Yu Chang Hao Dai Vincent S. Tseng AI4TS 31 0 0 01 Apr 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 70 5 0 13 Mar 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 18 0 0 10 Feb 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 29 2 0 18 Jan 2024
TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training Chaoya Jiang Wei Ye Haiyang Xu Qinghao Ye Mingshi Yan Ji Zhang Shikun Zhang CLIP VLM 24 4 0 14 Dec 2023
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space Pedro Valois Koichiro Niinuma Kazuhiro Fukui AAML 26 4 0 25 Nov 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer Leixin Yang Yu Xiang 28 0 0 22 Sep 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning Hiroki Nakamura Masashi Okada T. Taniguchi SSL NAI 28 0 0 08 Sep 2023
Inter-Instance Similarity Modeling for Contrastive Learning Chen Shen Dawei Liu H. Tang Zhe Qu Jianxin Wang SSL 31 4 0 21 Jun 2023
Revisiting Single-gated Mixtures of Experts Amelie Royer I. Karmanov Andrii Skliar B. Bejnordi Tijmen Blankevoort MoE MoMe 36 6 0 11 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 30 41 0 07 Apr 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 24 1 0 03 Mar 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers Yonghong Tian Mingbao Lin Zhihang Lin Yuxin Zhang Rongrong Ji Rongrong Ji 53 10 0 26 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 34 1 0 09 Dec 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty Shuyang Sun Jieneng Chen Ruifei He Alan Yuille Philip Torr Song Bai UQCV NoLa 21 5 0 29 Nov 2022
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization Masud An Nur Islam Fahim Jani Boutellier 40 0 0 01 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements A. Ma Nikita Dvornik Ran Zhang Leila Pishdad Konstantinos G. Derpanis Afsaneh Fazly 34 6 0 31 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 35 4 0 27 Oct 2022
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers Hyeong Kyu Choi Joonmyung Choi Hyunwoo J. Kim ViT 31 35 0 14 Oct 2022
Token-Label Alignment for Vision Transformers Han Xiao Wenzhao Zheng Zhengbiao Zhu Jie Zhou Jiwen Lu 21 4 0 12 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation Zeming Dong Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Zhenya Zhang Yves Le Traon Jianjun Zhao 31 8 0 06 Oct 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification Hui Chen Wei Han Diyi Yang Soujanya Poria 15 12 0 12 Sep 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 31 4 0 09 Sep 2022
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module Yih-Ling Liu Ziqi Yuan Huisheng Mao Zhiyun Liang Wanqiuyue Yang Yuanzhe Qiu Tie Cheng Xiaoteng Li Hua Xu Kai Gao 29 44 0 22 Aug 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 21 32 0 21 Aug 2022
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers Jihao Liu B. Liu Hang Zhou Hongsheng Li Yu Liu ViT 24 66 0 18 Jul 2022
Teach me how to Interpolate a Myriad of Embeddings Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 43 2 0 29 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 35 27 0 10 Jun 2022
RandoMix: A mixed sample data augmentation method with multiple mixed modes Xiaoliang Liu Furao Shen Jian Zhao Changhai Nie 11 15 0 18 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding Le Zhang Zichao Yang Diyi Yang 36 24 0 12 May 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 59 18 0 21 Mar 2022
RecursiveMix: Mixed Learning with History Lingfeng Yang Xiang Li Borui Zhao Renjie Song Jian Yang VLM 29 18 0 14 Mar 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification Thomas Stegmüller Behzad Bozorgtabar A. Spahr Jean-Philippe Thiran ViT MedIm 24 42 0 15 Feb 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 30 23 0 16 Dec 2021
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Siyuan Li Zicheng Liu Zedong Wang Di Wu Zihan Liu Stan Z. Li 35 26 0 30 Nov 2021
TransMix: Attend to Mix for Vision Transformers Jieneng Chen Shuyang Sun Ju He Philip Torr Alan Yuille S. Bai ViT 28 103 0 18 Nov 2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 21 6 0 08 Oct 2021
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 164 154 0 05 Oct 2021