A data augmentation methodology for training machine/deep learning gait
recognition algorithms

A data augmentation methodology for training machine/deep learning gait recognition algorithms

24 October 2016

Christoforos C. Charalambous

Anil A. Bharath

Papers citing "A data augmentation methodology for training machine/deep learning gait recognition algorithms"

4 / 4 papers shown

Title
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch F. Brémond A. Dantcheva 20 46 0 19 Aug 2022
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 20 132 0 23 Mar 2021
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark Bhusan Chettri Emmanouil Benetos Bob L. T. Sturm 14 27 0 15 Oct 2020
Survey on Deep Neural Networks in Speech and Vision Systems M. Alam Manar D. Samad Lasitha Vidyaratne Alexander M. Glandon Khan M. Iftekharuddin 3DV VLM AI4TS 6 204 0 16 Aug 2019