Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?

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 ...

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.

URL Encoder/Decoder is a tool for encoding and decoding URL strings. It converts special characters to percent-encoded format and decodes them back for safe URL transmission.

Abstract: Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting ...