Abstract

Conventional methods feed multi-modal images indiscriminately into model during training, introducing possible downgrading of performance. A novel stepwise method that trains different parts of multi-modal Faster R-CNN using different sub-datasets is presented, showing satisfactory results.

© 2018 The Author(s)

PDF Article

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription