arXiv:2604.22841v1 Announce Type: new
Abstract: Face Image Quality Assessment (FIQA) aims to assess the recognition utility of face samples and is essential for reliable face recognition (FR) systems. Existing approaches require computationally expens…
arXiv:2510.14978v2 Announce Type: replace
Abstract: Recent image editing models have achieved impressive results while following natural language editing instructions, but they rely on supervised fine-tuning with large datasets of input-target pairs. …
arXiv:2507.14787v2 Announce Type: replace-cross
Abstract: Hyperspectral imaging (HSI) captures hundreds of narrow, contiguous wavelength bands, making it a powerful tool in biology, agriculture, and environmental monitoring. However, interpreting Visi…
arXiv:2503.05587v3 Announce Type: replace-cross
Abstract: Robustness has become a critical attribute for the deployment of RAG systems in real-world applications. Existing research focuses on robustness to explicit noise (e.g., document semantics) but…
arXiv:2604.24235v1 Announce Type: new
Abstract: Touchless interaction with medical images is becoming increasingly important in the surgical field, where sterility and continuity of the operational workflow are essential requirements. This work presen…
arXiv:2604.23701v1 Announce Type: cross
Abstract: Crop disease diagnosis from field photographs faces two recurring problems: models that score well on benchmarks frequently hallucinate species names, and when predictions are correct, the reasoning be…
arXiv:2604.23658v1 Announce Type: cross
Abstract: Chip placement plays an important role in physical design. While generative models like diffusion models offer promising learning-based solutions, current methods have the following limitations: they u…
arXiv:2604.23702v1 Announce Type: new
Abstract: Humanoid robots operating in human-centered environments (e.g., homes, hospitals, and offices) must mitigate foot–ground impact transients, as impact-induced vibration and noise degrade user experience …
arXiv:2604.24276v1 Announce Type: new
Abstract: Instance-sensitive losses for semantic segmentation such as blob loss and CC loss were designed to address instance imbalance, ensuring small lesions generate the same gradient as large ones, but operate…
arXiv:2604.23903v1 Announce Type: cross
Abstract: Large-scale neuroscience is generating rich datasets across animals, brain areas and behavioral contexts, yet our modeling efforts remains fragmented across isolated experiments. We argue that understa…