Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification.
Luca PianoFilippo Gabriele PratticòAlessandro Sebastian RussoLorenzo LanariLia MorraFabrizio LambertiPublished in: WACV (2023)
Keyphrases
- synthetic data
- real world
- data sets
- real image data
- mri data
- object model
- d objects
- multiple objects
- image segmentation
- complex objects
- lighting conditions
- individual objects
- deformable objects
- automatic identification
- target object
- partial occlusion
- data mining
- object oriented
- data model
- moving objects
- database systems
- image processing
- information systems