ALFA: Agglomerative Late Fusion Algorithm for Object Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00327982" target="_blank" >RIV/68407700:21230/18:00327982 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICPR.2018.8545182" target="_blank" >http://dx.doi.org/10.1109/ICPR.2018.8545182</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICPR.2018.8545182" target="_blank" >10.1109/ICPR.2018.8545182</a>
Alternative languages
Result language
angličtina
Original language name
ALFA: Agglomerative Late Fusion Algorithm for Object Detection
Original language description
We propose ALFA - a novel late fusion algorithm for object detection. ALFA is based on agglomerative clustering of object detector predictions taking into consideration both the bounding box locations and the class scores. Each cluster represents a single object hypothesis whose location is a weighted combination of the clustered bounding boxes.
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
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 24rd International Conference on Pattern Recognition (ICPR)
ISBN
978-1-5386-3788-3
ISSN
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e-ISSN
1051-4651
Number of pages
6
Pages from-to
2594-2599
Publisher name
IEEE
Place of publication
Piscataway, NJ
Event location
Beijing
Event date
Aug 20, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000455146802100