The core idea of MMT is the multiway multimodal attention, where the multiple modalities are leveraged to compute the multiway attention tensor. This naturally ...
The multiway multimodal transformer (MMT) is proposed to simultaneously explore multiway multimodal intercorrelations for each modality via single block.
The core idea of MMT is the multiway multimodal attention, where the multiple modalities are leveraged to compute the multiway attention tensor. This naturally ...
Our proposed Multi-Modal Transformer (MMT) aggregates sequences of multi-modal features (eg appearance, motion, audio, OCR, etc.) from a video.
Multimodal Machine Translation (MMT) aims to introduce information from other modality, generally static images, to improve the translation quality. Previous ...
Missing: Learning. | Show results with:Learning.
Nov 15, 2022 · In this work, we develop a multiscale multimodal Transformer (MMT) that employs hierarchical representation learning.
Mar 19, 2021 · It allows in a natural way to process the temporal dependencies inside the multi modal data source. To train a text to video retrieval neural ...
We propose a method called MMT-GD, which leverages a multimodal transformer model to effectively integrate the multimodal data.
We think that the most promising aggregation method is a Multi Modal Transformer (MMT) method [7]. MMT is a two-stream solution designed for a text-to-video ...
Multimodal Machine Translation (MMT) aims to introduce information from other modality, generally static images, to improve the translation quality.
Missing: way Multi-