If you'll be encoding with SVT-AV1 or VVC, in this article you'll learn a bit about how to optimize your encodes, particularly the trade-offs that pre­sets deliver, and how many logical processors to ...

based on self-supervised contrastive learning. It follows a sequence-to-sequence architecture with attention mechanism to address the traffic data imputation problem. Specifically, the model consists ...

In this study, we propose a novel lightweight model specifically for reliable traffic perception in low-light conditions, utilizing an encoder-decoder architecture. The proposed framework begins with ...