GitHub

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation

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 ...
IEEE

Exchanging Dual-Encoder–Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization

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.
the-decoder

Making AI sound human comes at the cost of meaning, researchers show

Researchers at the University of Zurich found that AI-generated text can still be reliably distinguished from human writing. Their study shows that efforts to make models sound more natural often ...
the-decoder

AI research agents would rather make up facts than say "I don't know"

A new study from Oppo's AI team reveals systematic flaws in "deep research" systems designed to automate complex reporting. Nearly 20 percent of errors stem from systems inventing plausible-sounding ...