Model Zoo

More models with different backbones will be added to the model zoo.

Init models

Backbone	Download
VGG-16	vgg16.pth

Attribute Prediction

Backbone	Pooling	Loss	Top-5 Recall	Top-5 Acc.	Download (Google)	Download (Baidu)
VGG-16	Global Pooling	Cross-Entropy	13.70	99.81	model	model, passwd: j9qd
VGG-16	Landmark Pooling	Cross-Entropy	14.79	99.27	model	-
ResNet-50	Global Pooling	Cross-Entropy	23.52	99.29	model	-
ResNet-50	Landmark Pooling	Cross-Entropy	30.84	99.30	model	-

In-Shop Clothes Retrieval

Backbone	Pooling	Loss	Top-5 Acc.	Download (Google)	Download (Baidu)
VGG-16	Global Pooling	Cross-Entropy	38.76	model	model, passwd: wz69
VGG-16	Landmark Pooling	Cross-Entropy	46.29	model	-
ResNet-50	Global Pooling	Cross-Entropy	41.81	model	-
ResNet-50	Landmark Pooling	Cross-Entropy	48.82	model	-

Consumer-to-Shop Clothes Retrieval

Backbone	Pooling	Loss	Top-5 Acc.	Download (Google)	Download (Baidu)
VGG-16	Landmark Pooling	Cross-Entropy	7.18	model	model, passwd: grfx

Fashion Landmark Detection

Backbone	Loss	Normalized Error	% of Det. Landmarks	Download (Google)	Download (Baidu)
VGG-16	L2 Loss	0.0813	55.35	model	model, passwd: 4ebx
ResNet-50	L2 Loss	0.0758	56.32	model

Fashion Compatibility Predictor

Backbone	Dataset	Embedding Projection	Loss	Fill-in-blank Acc	Compatibility AUC	Download (Google)
ResNet-18	Disjoint	fully-connected layer	Triplet loss, Type-specific loss, Similarity loss, VSE loss	50.4	0.80	model
ResNet-18	Disjoint	learned metric	Triplet loss, Type-specific loss, Similarity loss, VSE loss	55.6	0.84	model
ResNet-18	Nondisjoint	fully-connected layer	Triplet loss, Type-specific loss, Similarity loss, VSE loss	53.5	0.85	model

Fashion Segmentation

Backbone	Model type	Dataset	bbox detection Average Precision	segmentation Average Precision	Download (Google)
Resnet50	Mask RCNN	DeepFashion-In-shop	0.599	0.584	model