The Necessity and Pitfall of Augmentation in Deep Learning: Observations During a Case Study in Triplet Learning for Coin Images.
Daniel SoukupPublished in: ICPRAM (2020)
Keyphrases
- deep learning
- deep architectures
- unsupervised learning
- image database
- learning algorithm
- reinforcement learning
- learning process
- online learning
- supervised learning
- image classification
- unsupervised feature learning
- weakly supervised
- test images
- input image
- image features
- feature extraction
- co occurrence
- maximum likelihood
- natural images
- probabilistic model
- image regions
- active learning
- lighting conditions
- image annotation
- multiple images
- image retrieval
- object recognition
- computer vision