Between-class Learning for Image Classification

28 November 2017

Papers citing "Between-class Learning for Image Classification"

50 / 53 papers shown

Title
Mixup Regularization: A Probabilistic Perspective Yousef El-Laham Niccolò Dalmasso Svitlana Vyetrenko Vamsi K. Potluru Manuela Veloso 58 0 0 20 Feb 2025
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 63 3 0 18 May 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States Kang Liu Ke Chen Lihua Guo Yaowei Wang Kui Jia 45 0 0 30 May 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 34 7 0 06 Apr 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 43 30 0 10 Feb 2023
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup Zhi Yang Junyang Chen Yukai Shi Hao Li Tianshui Chen Liang Lin DiffM 88 16 0 03 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 31 28 0 21 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 25 1 0 08 Dec 2022
Deep Learning Training Procedure Augmentations Cristian Simionescu 11 1 0 25 Nov 2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes Shungo Fujii Yasunori Ishii Kazuki Kozuka Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 47 2 0 12 Sep 2022
Segment Augmentation and Differentiable Ranking for Logo Retrieval Feyza Yavuz Sinan Kalkan 30 0 0 06 Sep 2022
Few-shot Adaptive Object Detection with Cross-Domain CutMix Yuzuru Nakamura Yasunori Ishii Yuki Maruyama Takayoshi Yamashita 28 9 0 31 Aug 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 23 32 0 21 Aug 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 34 16 0 14 Jul 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 40 13 0 16 Jun 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 45 399 0 03 May 2022
BYOL for Audio: Exploring Pre-trained General-purpose Audio Representations Daisuke Niizumi Daiki Takeuchi Yasunori Ohishi Noboru Harada K. Kashino SSL 38 53 0 15 Apr 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 26 48 0 25 Feb 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning Xihong Yang Xiaochang Hu Sihang Zhou Xinwang Liu En Zhu SSL 213 43 0 24 Feb 2022
Quality-Aware Multimodal Biometric Recognition Sobhan Soleymani Ali Dabouei Fariborz Taherkhani Seyed Mehdi Iranmanesh J. Dawson Nasser M. Nasrabadi CVBM 30 3 0 10 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Bo Li D. Song Jacob Steinhardt UQCV 25 137 0 09 Dec 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 33 61 0 21 Jul 2021
Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images Dingwen Zhang Bo Wang Gerong Wang Qiang Zhang Jiajia Zhang Jungong Han Zheng You 30 19 0 29 Mar 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation Yuan Gong Yu-An Chung James R. Glass VLM 104 144 0 02 Feb 2021
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19 Dongdong Wang Shunpu Zhang Liqiang Wang 11 12 0 20 Jan 2021
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 116 0 09 Nov 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 26 91 0 22 Oct 2020
Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions Rafal Pytel O. Kayhan Jan van Gemert 3DPC 29 6 0 20 Oct 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 24 19 0 19 Aug 2020
PointMixup: Augmentation for Point Clouds Yunlu Chen Vincent Tao Hu E. Gavves Thomas Mensink Pascal Mettes Pengwan Yang Cees G. M. Snoek 3DPC 32 154 0 14 Aug 2020
DACS: Domain Adaptation via Cross-domain Mixed Sampling Wilhelm Tranheden Viktor Olsson Juliano Pinto Lennart Svensson 23 351 0 17 Jul 2020
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint Vihari Piratla Shiv Shankar ViT 16 0 0 09 Jul 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 26 103 0 12 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation Deepan Das Haley Massa Abhimanyu Kulkarni Theodoros Rekatsinas 31 18 0 06 Jun 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 16 39 0 01 Apr 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model Dongdong Wang Yandong Li Liqiang Wang Boqing Gong 29 48 0 31 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 21 98 0 10 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 4 192 0 09 Mar 2020
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 28 103 0 25 Sep 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning Zhijun Mai Guosheng Hu Dexiong Chen Fumin Shen Heng Tao Shen 22 41 0 27 Aug 2019
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network Hideki Oki Takio Kurita SSL 16 4 0 24 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 400 4,694 0 13 May 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 25 14 0 11 May 2019
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 38 52 0 10 May 2019
Class specific or shared? A cascaded dictionary learning framework for image classification Yanjiang Wang Shuai Shao Rui Xu Ye Li Baodi Liu 13 0 0 17 Apr 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 39 757 0 09 Mar 2019
The Visual Centrifuge: Model-Free Layered Video Representations Jean-Baptiste Alayrac João Carreira Andrew Zisserman 23 48 0 04 Dec 2018
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning Shunsuke Kitada Hitoshi Iyatomi 22 15 0 07 Sep 2018