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.

Abstract: Pre-trained encoders in computer vision have recently received great attention from both research and industry communities. Among others, a promising paradigm is to utilize self-supervised ...

Comics have the power to make us laugh, reflect, and see our everyday lives through a new lens. In this post, we take a closer look at the work of Kevin Eric Raymundo, better known as Tarantadong ...

Actively practicing gratitude can create new neural pathways and release mood-influencing neurotransmitters like dopamine and serotonin. The project revealed that community, family, and friends were ...