ROC AUC: 88.42
Papers with Code · CC BY-SA 4.0
Anomaly Detection In Surveillance Videos
"The goal of a practical anomaly detection system is to timely signal an activity that deviates normal patterns and identify the time window of the occurring anomaly. [It] can be considered as coarse level video understanding, which filters out anomalies from normal patterns." A critical task in video surveillance is detecting anomalous events such as traffic accidents, crimes or illegal activities. Anomalous events rarely occur as compared to normal activities. Hence the application of this task is to "alleviate the waste of labor and time, developing intelligent computer vision algorithms for automatic video anomaly detection".
(Credit: Real-world Anomaly Detection in Surveillance Videos)
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
Papers with Code 아카이브의 데이터셋별 기록 예시입니다. 평가 조건과 지표 방향이 검증되지 않아 순위를 의미하지 않습니다.
Dataset기록된 모델 예시MetricPaperCode
데이터셋
7개논문
AUC-ROC: 97.48
AUC-ROC: 97.48
AUC-ROC: 98.14
AUC-ROC: 94.83
AUC-ROC: 89.14
AUC-ROC: 97.98
AUC-ROC: 97.48
AUC-ROC: 91.24
라이브러리
Papers with Code 리더보드 row에 연결된 구현 저장소입니다.