An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

In the rapidly evolving world of artificial intelligence (AI), various industrial sectors are increasingly adopting AI-driven ...

Since both encoder and decoder models are learned (meaning they can be re-trained), the same encoder or decoder architecture can be specialised for different tasks.

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.