Accurate, fast and lightweight dense target detection methods are highly important for
precision agriculture. To detect dense apricot flowers using drones, we propose an …

This paper introduces TinySaver, an early-exit-like dynamic model compression approach
which employs tiny models to substitute large models adaptively. Distinct from traditional …

Multimodal learning has been a field of increasing interest, aiming to combine various
modalities in a single joint representation. Especially in the area of visiolinguistic (VL) …

Reflected or scattered light produce artefacts in astronomical observations that can
negatively impact the scientific study. Hence, automated detection of these artefacts is highly …

Many people suffer from pollen allergies. Therefore, pollen monitoring is performed
worldwide, and pollen traps are used for this purpose. Specialists are analyzing the …

In summary, our innovative retrieval system for interactive video search, developed for the
VBS 2025 competition, significantly elevates the user experience through the utilization of …

Multimodal foundation models, such as GPT-4o, have made remarkable progress recently.
However, it is not clear exactly where these models stand in terms of understanding …