Supplementary materials for two companion surveys on large language and multimodal models for image, industrial, and video anomaly detection
收藏资源简介:
Reproducibility package for two companion literature surveys submitted to Artificial Intelligence Review (Springer Nature): (1) "Multimodal Large Language Models as Reasoners for Image and Industrial Anomaly Detection: A Survey" (internal label RV-A) and (2) "Large Language and Multimodal Models for Video Anomaly Detection: A Survey" (internal label RV-D). For each survey the archive provides the Scopus query string, the screened records sheet, and the coded corpus master, together with a README describing the file-by-file contents and the screening protocol used to assemble each corpus. These materials support the Data availability statements of the two manuscripts; no new experiments or models are reported, so no executable code is included.



