Context dependent edge detection and evaluation

Increasing the semantic understanding and contextual awareness of machine learning models is important for improving robustness and reducing susceptibility to data shifts. In this work, we leverage contextual awareness for the anomaly detection problem. ...

The detection of contextual anomalies is a challenging task for surveillance since an observation can be considered anomalous or normal in a specific environmental context. An unmanned aerial vehicle (UAV) can utilize its aerial monitoring capability and ...

In an edge-colored graph G, a subgraph is rainbow if all its edges have different colors. A strongly edge-colored graph is an edge-colored graph in which each path of length three is rainbow. A cycle C in an edge-colored graph G of ...