Artificial Intelligence (AI) has a growing influence in the fashion industry. In this review study,
the focal points of research in AI in the context of fashion are showcased. This is achieved by …

Classification of fashion item attributes, such as neckline types, graphic patterns, sleeve
lengths, hem types/length, etc., plays an essential role in the fashion item recommender …

Tribal people have a unique identity in their culture, food habit, and dress. People are
getting creative with their style by fusing elements of indigenous attire with contemporary …

Federated learning (FL) is a collaborative learning algorithm that builds ML models using
knowledge from distributed clients at various locations. Federated learning is valuable when …

Currently, AI-based clothing image classification techniques mostly use traditional deep
learning methods, which are based on monocular clothing images for classification …

Multi-Label classification is essential in the fashion industry due to the complexity of fashion
items, which often have multiple attributes such as style, material, and occasion. Traditional …

Text data plays a significant role in understanding and analyzing trends in consumer,
business, and social sectors. For text analysis, there must be a corpus that reflects specific …

There is a growing popularity of Indian ethnic wear as more Indians embrace their culture
and look inwards for inspiration. Most fashion forecasting agencies worldwide use deep …