Responsive Resource-Efficient Continuous Learning for Video ...
www.usenix.org › presentation › khani
RECL is a new video-analytics framework that carefully integrates model reusing and online model retraining, allowing it to quickly adapt the expert model ...
Continuous learning has recently shown promising results for video analytics by adapting a lightweight “expert” DNN model for each specific video scene to cope ...
Apr 17, 2023 · Abstract. Continuous learning has recently shown promising results for video analytics by adapting a lightweight “expert” DNN.
Apr 1, 2023 · RECL is a new video-analytics framework that carefully integrates model reusing and online model retraining, allowing it to quickly adapt the expert model.
Explore a groundbreaking video analytics framework presented at NSDI '23 that revolutionizes continuous learning for real-time data processing.
Apr 17, 2023 · RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics. Retrieved from https://par.nsf.gov/biblio/10411987. 20th USENIX ...
Ekya: Continuous learning of video analytics models on edge compute servers ... {RECL}: Responsive {Resource-Efficient} Continuous Learning for Video Analytics.
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics. Xingcai Zhang. Apr 11, 2024.
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics. M. Shirkoohi, G. Ananthanarayanan, K. Hsieh, J. Jiang, R. Netravali, Y. Shu, ...