Large-scale coarse-to-fine object retrieval ontology and deep local multitask learning

HIGHLIGHTS

• who: Large-Scale Coarse-to-Fine Object Retrieval and colleagues from the Department of Information Technology, VNUHCM-University of Science, HCM, Vietnam have published the article: Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning, in the Journal: Computational Intelligence and Neuroscience of 18/07/2019
• what: To clarify the contribution of the CFOR system, the authors compare it with the main reference DeepFashion in both the offline phase . To address these challenges, the authors propose that local multitask attribute learning be considered a grouping method based on object ontology . . .
  

   

  

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