Describing Clothing by Semantic Attributes

Abstract

Describing clothing appearance with semantic attributes is an appealing technique for many important applications. In this paper, we propose a fully automated system that is capable of generating a list of nameable attributes for clothes on human body in unconstrained images. We extract low-level features in a pose-adaptive manner, and combine complementary features for learning attribute classifiers. Mutual dependencies between the attributes are then explored by a Conditional Random Field to further improve the predictions from independent classifiers. We validate the performance of our system on a challenging clothing attribute dataset, and introduce a novel application of dressing style analysis that utilizes the semantic attributes produced by our system.

An Automated System for Garment Texture Design Class Identification

“…Analyzing Tables 2-6, it becomes evident that the proposed descriptors clearly outperform the current state-of-the-art methods, namely CENTRIST on Fashion Dataset. To validate the proposed methods further, we used the "Clothing Attribute Dataset" [55] described on Section 4.1 and 4.2. Table 7 shows the experimental results using different feature extraction methods along with our proposed methods in this dataset.…”

“…Figure 7 shows the example dataset. Besides this, we also used the "Clothing Attribute Dataset" [55] for evaluating our proposed method. The original dataset contain 1856 images, and there are different basic design classes such as Floral, Graphics, Plaid, Spotted, Striped and Solid pattern that we have used in our experiments.…”

Runway to Realway: Visual Analysis of Fashion

“…Recent work addresses attributes of shopping images of clothing items [2,20], adding some clothing attributes to the person detection pipeline [4], and detecting clothing items and annotating attributes for an image or collection of images [6,3]. More closely related to the parsing approach used in this paper, there has been work on predicting semantic segmentations of clothing images [24,25,26], and we use the open source implementation from [26] as part of our pipeline.…”

Outfit Recommendation System Based on Deep Learning

“…In addition, it will make people's life more convenient if there is a system which can suggest good outfit to users based on the clothing that the users already have. An occasion-oriented clothing recommendation is given to suggest the most suitable clothing from the user's own clothing photo album [9], which just put attention to the occasion not the outfit itself.…”