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Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network
- Source :
- ACM Multimedia
- Publication Year :
- 2020
- Publisher :
- ACM, 2020.
-
Abstract
- This companion paper supports the experimental replication of paper "Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network", which is presented at ACM Multimedia 2019. We provide the software package for replicating the implementation of Multi-Layered Comparison Network (MCN), as well as the Polyvore-T dataset and baseline methods compared in the original paper. This paper contains the guides to reproduce the experiment results including outfit compatibility prediction, outfit diagnosis and automatic outfit revision.
- Subjects :
- Reproducibility
Experimental Replication
Computer architecture
Computer science
business.industry
Deep learning
Compatibility (mechanics)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
02 engineering and technology
Artificial intelligence
business
Software package
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 28th ACM International Conference on Multimedia
- Accession number :
- edsair.doi...........1b9bc16f01d85e142489636de6742333