Encoder-Decoder Architecture The encoder-decoder architecture is a general architecture for learning sequence-to-sequence problems. It is used extensively in NLP, originally for machine learning tasks ...

This paper introduces a groundbreaking enhancement to image captioning through a unique approach that harnesses the combined power of the Vision Encoder-Decoder model. By leveraging the Swin ...

Lung function evaluation is important to many medical applications, but conducting pulmonary function tests is constrained by different conditions. This article presents a pioneer study of an ...

Handwritten Mathematical Expression Recognition (HMER) is a challenging interdisciplinary field at the nexus of computer vision, pattern recognition and artificial intelligence.

On Wednesday, OpenAI released a new open source AI model called Whisper that recognizes and translates audio at a level that approaches human recognition ability. It can transcribe interviews ...

Grounded Situation Recognition (GSR) is the task that not only classifies a salient action (verb), but also predicts entities (nouns) associated with semantic roles and their locations in the given ...