Bridging the Pose-Semantic Gap: A Cascade Framework for Text-Based Person Anomaly Search 事件

Bridging the Pose-Semantic Gap: A Cascade Framework for Text-Based Person Anomaly Search arXiv:2604.23282v2 Announce Type: replace Abstract: Text-based person anomaly search retrieves specific behavioral events from surveillance archives using natural-language queries. Although recent pose-aware methods align geometric structures well, they face a fundamental Pose-Semantic Gap: semantically different actions can share similar skeletal geometries. While Multimodal Large Language Models (MLLMs) c