提出双特征解耦方法，专攻细粒度分布外检测难题，让模型精准识别细微异常。
arXiv:2606.05536v1 Announce Type: new Abstract: Out-of-distribution detection (OOD) is an indispensable technique when applying machine learning model…
提出生成语义抗体方法，让视觉-语言模型在开放世界对抗攻击下实现免疫级防御，实验覆盖ImageNet及4个OOD基准。
arXiv:2605.30745v1 Announce Type: new Abstract: Large Vision-Language Models have achieved unprecedented success in zero-shot recognition by aligning …
提出ConjNorm方法，实现可计算的密度估计，高效解决分布外检测难题
arXiv:2402.17888v5 Announce Type: replace-cross Abstract: Post-hoc out-of-distribution (OOD) detection has garnered intensive attention in reliable ma…
早期高频信息注入策略提升几何敏感型分布外检测性能，方法简洁有效，值得关注。
arXiv:2605.20728v1 Announce Type: new Abstract: Post-hoc OOD detectors score logits or features after training, so their success depends on the geomet…