Between-class Learning for Image Classification

28 November 2017

Papers citing "Between-class Learning for Image Classification"

38 / 38 papers shown

Title
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 58 1 0 02 Nov 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman M. Prabhushankar Ghassan AlRegib 29 7 0 06 Apr 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 31 30 0 10 Feb 2023
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 21 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 37 2 0 12 Sep 2022
Segment Augmentation and Differentiable Ranking for Logo Retrieval Feyza Yavuz Sinan Kalkan 27 0 0 06 Sep 2022
Few-shot Adaptive Object Detection with Cross-Domain CutMix Yuzuru Nakamura Yasunori Ishii Yuki Maruyama Takayoshi Yamashita 23 9 0 31 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
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee M. Prabhushankar Ghassan AlRegib UQCV 32 13 0 16 Jun 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 24 396 0 03 May 2022
BYOL for Audio: Exploring Pre-trained General-purpose Audio Representations Daisuke Niizumi Daiki Takeuchi Yasunori Ohishi N. Harada K. Kashino SSL 36 53 0 15 Apr 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 21 48 0 25 Feb 2022
Quality-Aware Multimodal Biometric Recognition Sobhan Soleymani Ali Dabouei Fariborz Taherkhani Seyed Mehdi Iranmanesh J. Dawson Nasser M. Nasrabadi CVBM 22 3 0 10 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Bo-wen Li D. Song Jacob Steinhardt UQCV 23 136 0 09 Dec 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mañdziuk 23 60 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 22 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
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 115 0 09 Nov 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 18 90 0 22 Oct 2020
Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions Rafal Pytel O. Kayhan J. C. V. Gemert 3DPC 24 6 0 20 Oct 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 19 19 0 19 Aug 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 102 0 12 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation Deepan Das Haley Massa Abhimanyu Kulkarni Theodoros Rekatsinas 21 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 12 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 18 48 0 31 Mar 2020
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Juho Kannala 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
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network Hideki Oki Takio Kurita SSL 9 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 306 4,686 0 13 May 2019
Multi-class Novelty Detection Using Mix-up Technique Supritam Bhattacharjee Devraj Mandal Soma Biswas 22 14 0 11 May 2019
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 30 52 0 10 May 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Juho Kannala Arno Solin Yoshua Bengio David Lopez-Paz 30 756 0 09 Mar 2019
The Visual Centrifuge: Model-Free Layered Video Representations Jean-Baptiste Alayrac João Carreira Andrew Zisserman 21 48 0 04 Dec 2018
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning Shunsuke Kitada Hitoshi Iyatomi 14 15 0 07 Sep 2018
The Hybrid Bootstrap: A Drop-in Replacement for Dropout R. Kosar D. W. Scott BDL 26 1 0 22 Jan 2018
Data Augmentation by Pairing Samples for Images Classification H. Inoue 14 420 0 09 Jan 2018