Deep Learning on Small Datasets without Pre-Training using Cosine Loss

25 January 2019

Papers citing "Deep Learning on Small Datasets without Pre-Training using Cosine Loss"

17 / 17 papers shown

Title
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition Shubham Trehan U. Ramachandran Ruth Scimeca Sathyanarayanan N. Aakur 19 0 0 18 Sep 2023
One-shot skill assessment in high-stakes domains with limited data via meta learning Erim Yanik Steven D. Schwaitzberg Gene Yang Xavier Intes Jack Norfleet Matthew Hackett S. De 44 3 0 16 Dec 2022
Robust SAR ATR on MSTAR with Deep Learning Models trained on Full Synthetic MOCEM data Benjamin Camus C. Barbu Eric Monteux 17 4 0 15 Jun 2022
Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning Erim Yanik Uwe Krüger Xavier Intes Rahul Rahul S. De 24 12 0 17 Mar 2022
Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers Johannes Schneider Robin Richner Micha Riser AI4Ed 14 35 0 02 Jan 2022
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 27 0 0 29 Nov 2021
The Unreasonable Effectiveness of the Final Batch Normalization Layer Veysel Kocaman O. M. Shir T. Baeck 18 1 0 18 Sep 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler 30 16 0 30 Aug 2021
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges Björn Barz Joachim Denzler 36 7 0 16 Aug 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 115 46 0 29 Jan 2021
LQF: Linear Quadratic Fine-Tuning Alessandro Achille Aditya Golatkar Avinash Ravichandran M. Polito Stefano Soatto 29 27 0 21 Dec 2020
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring S. Shahinfar P. Meek G. Falzon 19 150 0 16 Oct 2020
A Close Look at Deep Learning with Small Data Lorenzo Brigato Luca Iocchi 24 139 0 28 Mar 2020
Hyperspherical Prototype Networks Pascal Mettes Elise van der Pol Cees G. M. Snoek 16 123 0 29 Jan 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017
Frankenstein: Learning Deep Face Representations using Small Data Guosheng Hu Xiaojiang Peng Yongxin Yang Timothy M. Hospedales Jakob Verbeek CVBM 74 122 0 21 Mar 2016