A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers.
Peng ZhaoChen LiMd Mamunur RahamanHechen YangTao JiangMarcin GrzegorzekPublished in: CoRR (2021)
Keyphrases
- small scale
- deep learning
- image classification
- data sets
- image segmentation
- multiscale
- pattern recognition
- image features
- image retrieval
- test images
- single image
- input image
- image representation
- probabilistic model
- segmentation method
- text classification
- machine learning
- image content
- image regions
- unsupervised feature learning
- segmentation algorithm
- supervised learning
- feature vectors
- training set
- feature space
- feature extraction