Many projects on these pages do clever things with video. Whether it’s digital or analogue, it’s certain our community can ...
Abstract: Auto-encoders have emerged as a successful framework for unsupervised learning. However, conventional auto-encoders are incapable of utilizing explicit relations in structured data. To take ...
Release 1.0.24 Add new benchmark result csv files for inference timing on all models w/ RTX Pro 6000, 5090, and 4090 cards w/ PyTorch 2.9.1 Fix moved module error in ...
[1] Wilson, Andrew Gordon, Zhiting Hu, Ruslan Salakhutdinov, and Eric P. Xing. "Deep kernel learning." In Artificial intelligence and statistics, pp. 370-378. PMLR ...
Abstract: Abnormal event detection in video is a challenging vision problem. Most existing approaches formulate abnormal event detection as an outlier detection task, due to the scarcity of anomalous ...
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