Centroids Triplet Network and Temporally-Consistent Embeddings for In-Situ Object Recognition

Miguel A Lagunes Fortiz, Dima Damen, Walterio W Mayol-Cuevas

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Original languageEnglish
Title of host publication2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publication statusAccepted/In press - 30 Jun 2020
Eventconference is IROS 2020 -
Duration: 25 Oct 202029 Oct 2020

Conference

Conferenceconference is IROS 2020
Period25/10/2029/10/20

Cite this

Lagunes Fortiz, M. A., Damen, D., & Mayol-Cuevas, W. W. (Accepted/In press). Centroids Triplet Network and Temporally-Consistent Embeddings for In-Situ Object Recognition. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Institute of Electrical and Electronics Engineers (IEEE).