• AttributeMix

• @Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
• augments images based on se- mantically extracted image attributes
• Image is divided into a grid of patches where highly activated six responses are pasted onto the training image. These image pairs are selected randomly in every training iteration.
• attribute classifier by extracting k attributes (e.g., leg, head, and wings of a bird) from each image.
• The attribute mining procedure for every image is performed repetitively k times, whereas for each iteration, an attribute is masked out from the original image based on the most discriminative region in the attention map.
• attribute-level classifier is trained to generate new images for the actual classification model.