MMTT
MMTT refers to the Multi-Modal Transformer architecture. It is a type of neural network designed to process and integrate information from multiple different data modalities, such as text, images, audio, and video. The core idea behind MMTT is to leverage the strengths of the Transformer architecture, which has proven highly effective in natural language processing, and extend its capabilities to handle diverse data types.
This is typically achieved by using modality-specific encoders to transform the raw input data from each modality
MMTT models are employed in various applications. For instance, in image captioning, an MMTT model can take