2026-04-13T13:16:00Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/1050042025-07-17T10:59:37Zcom_2072_1033col_2072_452950
RECERCAT
author
Quattoni, Ariadna Julieta
author
Ramisa Ayats, Arnau
author
Madhyastha, Pranava S.
author
Simó Serra, Edgar
author
Moreno-Noguer, Francesc
2016
We address the task of annotating images with semantic tuples. Solving this problem requires an algorithm able to deal with hundreds of classes for each argument of the tuple. In such contexts, data sparsity becomes a key challenge. We propose handling this sparsity by incorporating feature representations of both the inputs (images) and
outputs (argument classes) into a factorized log-linear model.Peer ReviewedPostprint (author's final draft)
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access Attribution-NonCommercial-NoDerivs 3.0 Spain
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Computational linguistics
Linguistics
Regression analysis
Data sparsity
Embeddings
Feature representation
Loglinear model
Semantic imatge annotations
Structured prediction
computer vision
natural language processing
Classificació INSPEC::Control theory::Predictive control
Structured prediction with output embeddings for semantic image annotation
Conference report