Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00347204" target="_blank" >RIV/68407700:21730/20:00347204 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1145/3394171.3414812" target="_blank" >https://doi.org/10.1145/3394171.3414812</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3394171.3414812" target="_blank" >10.1145/3394171.3414812</a>
Alternative languages
Result language
angličtina
Original language name
Reproducibility Companion Paper: Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 28th ACM International Conference on Multimedia
ISBN
978-1-4503-7988-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
4439-4443
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Seattle
Event date
Oct 12, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000810735004060