An extension of the paper with additional results can be found in the provided button above (ExtendedPaper). This repository builds upon the original T-DEED implementation to evaluate the model across ...

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 ...

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

Abstract: Change detection aims to detect changes of objects or scenes in remote sensing images, which is critical for observing the Earth’s surface. However, due to the insufficient correlation and ...

Kindle AI Can Answer Questions About What You're Reading, But Authors Can't Opt Out Ask This Book provides AI-generated explanations of a book's plot or characters, but it's unclear how Amazon plans ...

Ah, Siri. When Apple came up with Siri, it was at the top of its game, the chatbot everyone knew even if they didn't have an iPhone. Not anymore. Other chatbots have gone to the moon, as it were, ...

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.