ICME 2022 Few-shot LOGO detection top 9 solution
This is an incremental solution for a specific competition in logo detection, addressing issues like adversarial images and similar brands.
The paper tackled the ICME-2022 few-shot logo detection competition, which required a single model to detect logos under challenges like tiny instances and limited annotations, and the team achieved a final rank of 9th.
ICME-2022 few-shot logo detection competition is held in May, 2022. Participants are required to develop a single model to detect logos by handling tiny logo instances, similar brands, and adversarial images at the same time, with limited annotations. Our team achieved rank 16 and 11 in the first and second round of the competition respectively, with a final rank of 9th. This technical report summarized our major techniques used in this competitions, and potential improvement.