A system and method for providing object-level driver attention reasoning with a graph convolution network that include receiving image data associated with a plurality of image clips of a surrounding environment of a vehicle and determining anchor object-ness scores and anchor importance scores associated with relevant objects included within the plurality of image clips. The system and method also include analyzing the anchor object-ness scores and anchor importance scores associated with relevant objects and determining top relevant objects with respect to an operation of the vehicle. The system and method further include passing object node features and edges of an interaction graph through the graph convolution network to update features of each object node through interaction with other object nodes and determining importance scores for the top relevant objects.
SYSTEM AND METHOD FOR PROVIDING OBJECT-LEVEL DRIVER ATTENTION REASONING WITH A GRAPH CONVOLUTION NETWORK