3 papers
cs.CV2026
ReUnit: Multi-Granularity Visual Unitization for Long Video Understanding
Biao Tang, Xu Chen, Shuxiang Gou +4
Long-video understanding is constrained by the limited visual input capacity of video multimodal large language models (Video-MLLMs). Existing methods mainly optimize which content…
cs.CV2025
AD-DINOv3: Enhancing DINOv3 for Zero-Shot Anomaly Detection with Anomaly-Aware Calibration
Jingyi Yuan, Jianxiong Ye, Wenkang Chen +1
Zero-Shot Anomaly Detection (ZSAD) seeks to identify anomalies from arbitrary novel categories, offering a scalable and annotation-efficient solution. Traditionally, most ZSAD work…
cs.CV2025
AFR-CLIP: Enhancing Zero-Shot Industrial Anomaly Detection with Stateless-to-Stateful Anomaly Feature Rectification
Jingyi Yuan, Chenqiang Gao, Pengyu Jie +3
Recently, zero-shot anomaly detection (ZSAD) has emerged as a pivotal paradigm for industrial inspection and medical diagnostics, detecting defects in novel objects without requiri…