Diverse Complexity Measures for Dataset Curation in Self-Driving
Abbas Sadat,Sean Segal,Sergio Casas,James Tu,Bin Yang,Raquel Urtasun,Ersin Yumer,Abbas Sadat,Sean Segal,Sergio Casas,James Tu,Bin Yang,Raquel Urtasun,Ersin Yumer
Modern self-driving systems heavily rely on deep learning. As a consequence, their performance is influenced significantly by the quality and richness of the training data. Data collection platforms can generate many hours of raw data on a daily basis, however, it is not feasible to label everything. Therefore, it is critical to have a mechanism to identify "what to label". Active learning approac...
