Generating accurate descriptions for online fashion items is important not only for enhancing
customers' shop** experiences, but also for the increase of online sales. Besides the …

Outfit recommendation requires the answers of some challenging outfit compatibility
questions such as' Which pair of boots and school bag go well with my jeans and sweater?' …

Clothing parsing has made tremendous progress in the domain of computer vision recently.
Most state-of-the-art methods are based on the encoder-decoder architecture. However, the …

Recent advanced methods for fashion landmark detection are mainly driven by training
convolutional neural networks on large-scale fashion datasets, which has a large number of …

Clothing parsing is significant to many clothing applications. Recently, a lot of clothing
parsing methods have been presented, which explore the innovation of the parsing pipeline …

Human matting refers to extracting human parts from natural images with high quality,
including human detail information such as hair, glasses, hats, etc. This technology plays an …

Human matting refers to extracting human parts from natural images with high quality,
including human detail information such as hair, glasses, hat, etc. This technology plays an …

Fashion analyses, such as predicting trends and fashion recommendation, have been a hot
topic. Color, as one of the dominant features of clothing, has great influence on people's …

People's attire, or their way of dressing defines not only their social status and personality
but also affects the way people meet and greet them. Attire detection has many useful …

Online business has brought about tremendous positive change globally; however, it comes
with some challenges. Thousands of different products are posted on a daily basis. Thus …