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 (The Chinese University of Hong Kong)
In European Conference on Computer Vision (ECCV) 2016
Contact: Sijie Yan ([email protected]) and Ziwei Liu ([email protected])
- Install and compile the Caffe library.
- 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
- 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).
Large-scale Fashion (DeepFashion) Database: Fashion Landmark Detection Benchmark (FLD)
@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}
}