Abstract: Data augmentation (DA) tailored to instances is vital for instance segmentation to improve model robustness and accuracy without high manual annotation costs. Existing erasing methods risk ...
Abstract: Scaling laws dictate that the performance of AI models is proportional to the amount of available data. Data augmentation is a promising solution to expanding the dataset size. Traditional ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results