Apparel Classification with Style
By Lukas Bossard, Matthias Dantone, Christian Leistner, Christian Wengert, Till Quack, Luc Van Gool. 2012
252 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Xiaogang Wang
- Dacheng Tao
- Ming-Hsuan Yang
- Jitendra Malik
- Trevor Darrell
- Bernt Schiele
- Alan L. Yuille
Citations in the corpus
- Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences (2015, methodology): “Then, we show how to train a Siamese CNN to learn a feature transformation from the image space into the latent style space.”
- DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations (2016, methodology): “color, category, texture) [1, 3, 6], clothing locations (e.”
- A High Performance CRF Model for Clothes Parsing (2014, background): “This is reflected in the growing interest in recognizing clothing from images [3,4,5,6,7,8,9,10], as this can enable a wide variety of applications such as trying on virtual garments in online shopping.”
- Hipster Wars: Discovering Elements of Fashion Styles (2014, background): “Additionally attributes have been explored specifically in the context of clothing for describing attributes of upper body clothing [1] or for jointly estimating clothing attributes in a CRF based approach [4].”
- Fashion Landmark Detection in the Wild (2016, background): “To better capture discriminative information in fashion items, previous works have explored the usage of full image [2], general object proposals [2], bounding boxes [9,17] and even masks [22,18,23,24].”
- From categories to subcategories: Large-scale image classification with partial class label refinement (2015, background): “Training data with accurate labels can be augmented with data with missing [10] or noisy labels [7].”
- Where to Buy It: Matching Street Clothing Photos in Online Shops (2015, methodology): “Several methods have used attribute-based frameworks to describe, classify, or retrieve clothing [3, 4, 5].”
- Runway to Realway: Visual Analysis of Fashion (2015, background): “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].”
- Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items (2013, background): “Many of these papers have focused on specific aspects of clothing recognition such as predicting attributes of clothing [7, 2, 4], outfit recommendation [15], or identifying aspects of socio-identity through clothing [18, 20].”
- Style Finder: Fine-Grained Clothing Style Detection and Retrieval (2013, background): “[2] presented a classification pipeline for categorizing upper-body clothing by appearance by utilizing visual attributes such as color, patterns and look.”
- Visually-Aware Fashion Recommendation and Design with Generative Image Models (2017, background): “’ This includes categorizing images as belonging to a certain style [23], as well as assessing items (or individuals [24]) for compatibility [12], [25].”