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Found 4 papers, 1 papers with code
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network
To the best of our knowledge, it is the first GNN-based self-supervised method for the multiclass classification of network flows in NIDS.
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society.
Selecting task with optimal transport self-supervised learning for few-shot classification
Few-Shot classification aims at solving problems that only a few samples are available in the training process.
DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers
In the training stage, we incorporate detectability scores into a one-shot tracker architecture so that DeepScale can learn representation estimations for different frame sizes in a self-supervised manner.
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