Apr 15, 2022 · A pairwise ranking objective is used for training this embedding space which allows similar images, topics and captions in the shared semantic ...
In this paper, we extend this approach by creating a guided attention network mechanism, that exploits the relationship between the visual scene and text- ...
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What is attention mechanism in image captioning?
How does image captioning help visually impaired?
A guided attention network mechanism is created, that exploits the relationship between the visual scene and text-descriptions using spatial features from ...
A pairwise ranking objective is used for training this embedding space which allows similar images, topics and captions in the shared semantic space to maintain ...
In this paper, we extend this approach by creating a guided attention network mechanism, that exploits the relationship between the visual scene and text- ...
Apr 14, 2024 · Our model solved this problem and outperformed these methods. T-OE-ATT (Popattia et al., 2022) , CSA , Bi-LSTM-S proposed different models ...
Guiding Attention using Partial-Order Relationships for Image Captioning.
This paper proposes a novel attention mechanism, called topic-guided attention, which integrates image topics in the attention model as a guiding ...
A fusion mechanism for global feature and local object-level feature is proposed. ... The mechanism relies on the spatial information of the objects in the image.
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Jul 10, 2018 · Attention mechanisms have attracted considerable interest in image captioning because of its powerful performance. Existing attention-based ...