GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection

1 code implementation • 10 Mar 2024 • Huaxin Zhang, Xiang Wang, Xiaohao Xu, Xiaonan Huang, Chuchu Han, Yuehuan Wang, Changxin Gao, Shanjun Zhang, Nong Sang

In recent years, video anomaly detection has been extensively investigated in both unsupervised and weakly supervised settings to alleviate costly temporal labeling.

Anomaly Detection Video Anomaly Detection

FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity

no code implementations • 1 Jan 2022 • Shanjun Zhang, Mingzhen Li, Hailong Yang, Yi Liu, Zhongzhi Luan, Depei Qian

Currently, the DL compilers partition the input DL models into several subgraphs and leverage the auto-tuning to find the optimal tensor codes of these subgraphs.