Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works? In this video, we break down Decoder Architecture in Transformers step by ...

Abstract: Polar codes have garnered substantial research attention due to their impressive performance characteristics and have found applications in recent technologies, including 5G New Radio (NR) ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

Note for users updating from older releases : The new MetOp and FengYun decoders now include a deframer. If using MetFy3x, derandomization and Reed-Solomon should be disabled or the file will fail to ...

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.