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Adaptive cross-modal embeddings for image-text alignment
Abstract a using an embedding vector of an instance from modality b. Such an adaptation is
designed to filter and enhance important information across internal features, allowing for …
designed to filter and enhance important information across internal features, allowing for …
Language-agnostic visual-semantic embeddings
This paper proposes a framework for training language-invariant cross-modal retrieval
models. We also introduce a novel character-based word-embedding approach, allowing …
models. We also introduce a novel character-based word-embedding approach, allowing …
Bidirectional retrieval made simple
This paper provides a very simple yet effective character-level architecture for learning
bidirectional retrieval models. Aligning multimodal content is particularly challenging …
bidirectional retrieval models. Aligning multimodal content is particularly challenging …
Fast query-by-example speech search using attention-based deep binary embeddings
State-of-the-art query-by-example (QbE) speech search approaches usually use recurrent
neural network (RNN) based acoustic word embeddings (AWEs) to represent variable …
neural network (RNN) based acoustic word embeddings (AWEs) to represent variable …
Image-text matching using multi-subspace joint representation
H Sun, X Qin, X Liu - Multimedia Systems, 2023 - Springer
Joint representation learning has been an attractive way to solve image-text retrieval
problem due to its efficiency on both time and storage. On the one hand, the most classical …
problem due to its efficiency on both time and storage. On the one hand, the most classical …
Fast and efficient text classification with class-based embeddings
Current state-of-the-art approaches for Natural Language Processing tasks such as text
classification are either based on Recurrent or Convolutional Neural Networks …
classification are either based on Recurrent or Convolutional Neural Networks …
Fully-disentangled text-to-image synthesis
MA Lopes - 2019 - tede2.pucrs.br
Algoritmos de generalização sofrem vários problemas. Comumente, os algoritmos de
aprendizado profundo tendem a se ajustar a uma quantidade limitada de dados, gerando …
aprendizado profundo tendem a se ajustar a uma quantidade limitada de dados, gerando …
[PDF][PDF] Style transfer for text-based image manipulation
MD Móre - 2019 - repositorio.pucrs.br
Grande parte dos dados que produzimos atualmente estão na forma de fotografias digitais,
o que aumenta a demanda por aplicações de edição de imagens. Contudo, manipulação …
o que aumenta a demanda por aplicações de edição de imagens. Contudo, manipulação …