Tune It or Don't Use It: Benchmarking Data-Efficient Image
Classification

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification

30 August 2021

Lorenzo Brigato

Joachim Denzler

Papers citing "Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification"

13 / 13 papers shown

Title
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision Pranav Jeevan Amit Sethi VLM 31 4 0 09 Jun 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets Lorenzo Brigato S. Mougiakakou 32 0 0 08 Mar 2024
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets Lorenzo Brigato S. Mougiakakou 27 3 0 04 Sep 2023
Infinite Class Mixup Thomas Mensink Pascal Mettes 24 2 0 17 May 2023
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification Ying Bi Bing Xue Mengjie Zhang VLM 74 15 0 27 Sep 2022
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies A. Dmitrenko M. M. Masiero N. Zamboni SSL 11 2 0 07 Mar 2022
Towards Benchmarking and Evaluating Deepfake Detection Chenhao Lin Jingyi Deng Peng Hu Chao Shen Qianqian Wang Qi Li 24 12 0 04 Mar 2022
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing Christoph Reinders Frederik Schubert Bodo Rosenhahn 9 7 0 23 Feb 2022
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge Björn Barz Lorenzo Brigato Luca Iocchi Joachim Denzler VLM 14 2 0 28 Sep 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 16 16 0 20 Jul 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 77 448 0 13 Jul 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 219 1,399 0 04 Dec 2018