A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis

22 May 2019

Papers citing "A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis"

4 / 4 papers shown

Title
dlordinal: a Python package for deep ordinal classification Francisco Bérchez-Moreno V. M. Vargas Rafael Ayllón-Gavilán David Guijo Rubio César Hervás-Martinez J. C. Fernández Pedro Antonio Gutiérrez 26 0 0 24 Jul 2024
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning Csaba Kertész VLM SSL 23 45 0 30 Mar 2021
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs Lars Vogtlin Manuel Drazyk Vinaychandran Pondenkandath Michele Alberti Rolf Ingold 16 12 0 15 Mar 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Vijay Badrinarayanan Ankur Handa R. Cipolla SSeg 161 792 0 27 May 2015