Deep learning in AI and information fusion panel discussion

Erik Blasch; Ivan Kadar; Lynne L. Grewe; Garrett Stevenson; Uttam K. Majumder; Chee-Yee Chong

doi:10.1117/12.2519230

7 May 2019 Deep learning in AI and information fusion panel discussion

Erik Blasch, Ivan Kadar, Lynne L. Grewe, Garrett Stevenson, Uttam K. Majumder, Chee-Yee Chong

Proceedings Volume 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII; 110180Q (2019) https://doi.org/10.1117/12.2519230
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

During the 2018 SPIE DSS conference, panelists were invited to highlight the trends and use of artificial intelligence and deep learning (AI/DL) for information fusion. This paper highlights the common issues presented from the panel discussion. The key issues include: leveraging AI/DL coordinated with information fusion for: (1) knowledge reasoning and reasoning, (2) information fusion enhancement, (3) object recognition and tracking, (4) data with models fusion, and (5) deep multimodal fusion cognition strategies to support the user.

Citation Download Citation

Erik Blasch, Ivan Kadar, Lynne L. Grewe, Garrett Stevenson, Uttam K. Majumder, and Chee-Yee Chong "Deep learning in AI and information fusion panel discussion", Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 110180Q (7 May 2019); https://doi.org/10.1117/12.2519230

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