ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches.
Maura PintorDaniele AngioniAngelo SotgiuLuca DemetrioAmbra DemontisBattista BiggioFabio RoliPublished in: Pattern Recognit. (2023)
Keyphrases
- machine learning
- image patches
- natural images
- regular grid
- million images
- low resolution
- small image patches
- pascal voc
- knowledge acquisition
- information extraction
- knowledge representation
- feature vectors
- data mining
- synthetic datasets
- benchmark datasets
- machine learning algorithms
- database
- pattern recognition
- decision trees
- active learning
- learning algorithm
- surface patches
- feature selection
- explanation based learning
- data analysis
- machine learning methods
- d objects
- semi supervised learning
- multi agent
- test images
- statistical methods
- learning tasks
- computational intelligence
- image set
- image collections
- inductive learning
- sparse representation
- natural language processing
- computer vision
- text mining