FFENet: frequency-spatial feature enhancement network for clothing classification.

ABSTRACT: Clothing analysis has garnered significant attention, and within this field, clothing classification plays a vital role as one of the fundamental technologies. Due to the inherent complexity of clothing scenes in real-world environments, the learning of clothing features in such complex scenes often encounters interference. Because clothing classification relies on the contour and texture information of clothing, clothing classification in real scenes may lead to poor classification results. Therefore, this paper proposes a clothing classification network based on frequency-spatial domain conversion. The proposed network combines frequency domain information with spatial information and does not compress channels. It aims to enhance the extraction of clothing features and improve the accur

SUBMITTER: Yu F 

PROVIDER: S-EPMC10557477 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature