We present a hybrid sim-to-real framework for the accurate detection of delivery boxes in a warehouse environment, without depending on large-scale, annotated real-world data. The framework combines realistic synthetic data generation using NVIDIA Isaac Sim to supplement limited real-world annotations, and an inference...
J. Polgár, G. Bogacsovics· 2026 IEEE 4th Conference on...· 0 citations
We present a spatial rich model (SRM)-based fusion approach for accurate and reliable deepfake image detection in a binary real-versus-fake facial image classification setting. The proposed method combines the effectiveness of modern deep learning models with residual-oriented forensic information extracted through SRM...
Large language models (LLMs) achieve strong general performance but struggle in specialized domains requiring structured, evolving knowledge. Existing context adaptation frameworks, such as Dynamic Cheatsheet and Agentic Context Engineering (ACE), accumulate domain knowledge as flat bullet-point lists, ignoring the rel...