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1910.01256
Cited By
ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection
International Conference on Advanced Robotics (ICAR), 2019
3 October 2019
Yunmeng Li
Bruno A. Krinski
Kentaro Inui
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Papers citing
"ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"
7 / 7 papers shown
Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation
Juan Miguel Valverde
Maja Østergaard
Adrian Rodriguez-Palomo
Peter Alling Strange Vibe
Nina Kølln Wittig
Henrik Birkedal
Anders Bjorholm Dahl
155
0
0
07 Mar 2025
DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem
Bruno A. Krinski
Daniel V. Ruiz
Rayson Laroca
E. Todt
3DPC
177
2
0
10 Mar 2023
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation
Bruno A. Krinski
Daniel V. Ruiz
E. Todt
3DPC
164
2
0
19 May 2022
Automatic Counting and Identification of Train Wagons Based on Computer Vision and Deep Learning
Rayson Laroca
Alessander Cidral Boslooper
David Menotti
95
9
0
30 Oct 2020
IDA: Improved Data Augmentation Applied to Salient Object Detection
SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2020
Daniel V. Ruiz
Bruno A. Krinski
E. Todt
149
8
0
18 Sep 2020
For the Thrill of it All: A bridge among Linux, Robot Operating System, Android and Unmanned Aerial Vehicles
Daniel V. Ruiz
H. Vidal
E. Todt
108
0
0
20 Jun 2020
Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation
Daniel V. Ruiz
Gabriel Salomon
E. Todt
165
7
0
10 Jan 2020
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