Jan 10, 2022 · In this work, we propose to focus attention across multiple images for multimodal event detection, which is also more reasonable for tweets with short text and ...
In this work, we propose to focus attention across multiple images for multimodal event detection, which is also more reasonable for tweets with short text and ...
This work elaborate a novel Multi-Image Focusing Network (MIFN) to connect text content with visual aspects in multiple images to improve the accuracy of ...
We propose an efficient, expressive, multimodal parameterization called Adaptive Categorical Discretization (AdaCat). AdaCat discretizes each dimension of an ...
People also ask
What is multimodal attention?
What do you mean by multiple images how many mirrors do you need to get multiple images of an object?
The key of image and sentence matching is to accurate- ly measure the visual-semantic similarity between an image and a sentence.
Dec 22, 2023 · We introduce Multimodal Attention Merging (MAM), an attempt that facilitates direct knowledge transfer from attention matrices of models rooted in high ...
This paper proposes a novel Attention-based Multi-. Reference Super-resolution network (AMRSR) that, given a low-resolution image, learns to adaptively ...
This paper proposes a false information detection method based on multi-modal event memory network(MEMN).
Apr 13, 2024 · Here, we propose a multimodal cross-document event coreference resolution method that integrates visual and textual cues with a simple linear ...
Specifically, we design a flexible attention-based multimodal feature extractor, which consists of a text/image encoder to get the global and local embeddings ...