BooYang-CS / fashion-landmarks

code and models for "Fashion Landmark Detection in the Wild"

Fashion Landmark Detection in the Wild

[Project] [Paper]

Overview

It is the authors' implementation of the fashion landmark detector described in:
"Fashion Landmark Detection in the Wild"
Ziwei Liu, Sijie Yan, Ping Luo, Xiaogang Wang, Xiaoou Tang
In European Conference on Computer Vision (ECCV) 2016

Contact: Sijie Yan ([e-mail]) and Ziwei Liu ([e-mail])

Getting started

• Install and compile the Caffe libraries.
• Download the pre-trained models (See Model Zoo for details):

Place "*.caffemodel" into "./models/FLD_upper(or lower or full)/" 

• Download the testing images. (See Dataset for details):

Place "*.jpg" into "./data/FLD_upper(or lower or full)/" 

• Run the testing script:

matlab ./scripts/demo.m

Model Zoo:

• FLD_upper_models.zip: 3-stage cascaded CNN models trained on upper-body clothes of Fashion Landmark Detection Benchmark (FLD).
• FLD_lower_models.zip: 3-stage cascaded CNN models trained on lower-body clothes of Fashion Landmark Detection Benchmark (FLD).
• FLD_full_models.zip: 3-stage cascaded CNN models trained on full-body clothes of Fashion Landmark Detection Benchmark (FLD).

Dataset

Large-scale Fashion (DeepFashion) Database: Fashion Landmark Detection Benchmark (FLD)

Citation

@inproceedings{liu2016fashionlandmark,
 author = {Ziwei Liu, Sijie Yan, Ping Luo, Xiaogang Wang, and Xiaoou Tang},
 title = {Fashion Landmark Detection in the Wild},
 booktitle = {European Conference on Computer Vision (ECCV)},
 month = {October},
 year = {2016} 
}