Local binary pattern (LBP) is sensitive to noise. Noise‐resistant LBP (NRLBP) addresses
this problem by thresholding local neighboring pixels into three‐valued states (ie, 0, 1 and …

Among all fashion attributes, color is challenging to detect due to its subjective perception.
Existing classification approaches can not go beyond the predefined list of discrete color …

In reinforcement learning, a decision needs to be made at some point as to whether it is
worthwhile to carry on with the learning process or to terminate it. In many such situations …

Plants are crucial resources on the Earth for ecological living habitat. However, the rapid
loss of plant species has alerted the globe with the rising awareness of biodiversity …

Self-supervised clustering methods have achieved increasing accuracy in recent years but
do not yet perform as well as supervised classification methods. This contrasts with the …

The image intelligent processing analysis technology uses a computer to imitate and
execute some intellectual functions of the human brain, and realizes an image processing …

Color serves as an important cue in graphics, arts and in many computer vision applications.
We reliably and effortlessly name colors and communicate them with their names. However …

Developing deep networks that analyze fashion garments has many real-world applications.
Among all fashion attributes, color is one of the most important yet challenging to detect …

We propose the new task of K principal concept identification for dataset summarizarion. The
objective is to find a set of K concepts that best explain the variation within the dataset …

With the increasing awareness of skin diversity, cosmetic companies have created
foundations with more than 40 shade options. Color researchers endeavored to evaluate the …