An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection

26 February 2019

Papers citing "An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection"

8 / 8 papers shown

Title
Towards Packaging Unit Detection for Automated Palletizing Tasks Markus Völk Kilian Kleeberger Werner Kraus Richard Bormann 27 0 0 11 Aug 2023
Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings Nagarjuna Chereddy B. Bolla 24 2 0 24 Jun 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis Alexander Norcliffe B. Cebere F. Imrie Pietro Lio M. Schaar SyDa 44 14 0 24 Feb 2023
Knock, knock. Who's there? -- Identifying football player jersey numbers with synthetic data D. Bhargavi Erika Pelaez Coyotl Sia Gholami 37 16 0 01 Mar 2022
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective? Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki S. Maeda Kohei Hayashi 40 12 0 25 Aug 2021
Fast robust peg-in-hole insertion with continuous visual servoing R. Haugaard Jeppe Langaa Christoffer Sloth A. Buch 19 31 0 12 Nov 2020
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World Shangbang Long Cong Yao 55 67 0 24 Mar 2020
Synthetic Examples Improve Generalization for Rare Classes Sara Beery Yang Liu Dan Morris Jim Piavis Ashish Kapoor M. Meister Neel Joshi Pietro Perona 20 95 0 11 Apr 2019