iTaskSense: Task-Oriented Object Detection in Resource-Constrained Environments

Task-oriented object detection is increasingly essential for intelligent sensing applications, enabling AI systems to operate autonomously in complex, real-world environments such as autonomous driving, healthcare, and industrial automation. Conventional models often struggle with generalization, re...

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Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Jeong, SungHeon, Barkam, Hamza Errahmouni, Oh, Hyunwoo, Chen, Hanning, Das, Tamoghno, Ye, Zhen, Imani, Mohsen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Accuracy Adaptation models Computational modeling Data models Hardware acceleration Integrated circuit modeling Multitasking Object detection Real-time systems Sensors
Online Access:	Get full text
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