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VAD

[논문 리뷰] STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applicationshttps://arxiv.org/abs/2503.07942 STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive ApplicationsThis paper presents a new method for anomaly detection in automated systems with time and compute sensitive requirements, such as autonomous driving, with unparalleled efficienc.. 더보기
[논문 리뷰] VadCLIP: Adapting Vision-Language Models for Weakly SupervisedVideo Anomaly Detection VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detectionhttps://ojs.aaai.org/index.php/AAAI/article/view/28423 VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection | Proceedings of the AAAI Conferen ojs.aaai.orgWu, P., Zhou, X., Pang, G., Zhou, L., Yan, Q., Wang, P., & Zhang, Y. (2024, March). Vadclip: Adapting vision-language model.. 더보기

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