Learning attention models for resource-constrained, self-adaptive visual sensing applications-Reference-Cited by-同舟云学术

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Learning attention models for resource-constrained, self-adaptive visual sensing applications

Published:2022-10-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Conference on Research in Adaptive and Convergent Systems
language:
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Author:

Asad Hafiz Areeb¹,Kraemer Frank Alexander¹,Bach Kerstin¹,Renner Christian²,Veiga Tiago Santos¹

Affiliation:

1. NTNU, Trondheim, Norway

2. TUHH, Hamburg, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3538641.3561505

Reference16 articles.

1. Value of Information in Wireless Sensor Network Applications and the IoT: A Review

2. Self-adaptive architectures in IoT systems: a systematic literature review

3. Ali Borji and Laurent Itti . 2012. State-of-the-art in visual attention modeling . IEEE transactions on pattern analysis and machine intelligence 35, 1 ( 2012 ), 185--207. Ali Borji and Laurent Itti. 2012. State-of-the-art in visual attention modeling. IEEE transactions on pattern analysis and machine intelligence 35, 1 (2012), 185--207.

4. Autonomous IoT Device Management Systems: Structured Review and Generalized Cognitive Model

5. Overcoming Limitations of LoRa Physical Layer in Image Transmission

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1. Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications;Future Generation Computer Systems;2023-05

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