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Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Detecting various types of stresses (nutritional, water, nitrogen, etc.) in agricultural fields is critical for farmers to ensure maximum productivity. However, stresses show up in different shapes and sizes across different crop types and varieties. Hence, this is posed as an anomaly detection task in agricultural images. Accurate anomaly detection in agricultural UAV images is vital for early id...Show More
Multi-sensor Energy Efficient Obstacle Detection
2019 22nd Euromicro Conference on Digital System Design (DSD)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
With the improvement in technology, both the cost and the power requirement of cameras, as well as other sensors have come down significantly. It has allowed these sensors to be integrated into portable as well as wearable systems. Such systems are usually operated in a hands-free and always-on manner where they need to function continuously in a variety of scenarios. In such situations, relying o...Show More
MAVI: Mobility Assistant for Visually Impaired with Optional Use of Local and Cloud Resources
Rajesh Kedia;Anupam Sobti;Mukund Rungta;Sarvesh Chandoliya;Akhil Soni;Anil Kumar Meena;Chrystle Myrna Lobo;Richa Verma;M. Balakrishnan;Chetan Arora
2019 32nd International Conference on VLSI Design and 2019 18th International Conference on Embedded Systems (VLSID)
Year: 2019 | Conference Paper |
Cited by: Papers (16)
Independent mobility of visually impaired people is key to making an inclusive society for them. Unstructured infrastructure in developing countries pose significant challenges in developing aids to address the mobility problem of visually impaired. Most of the assistive devices available internationally assume a structured and controlled environment severely restricting the applicability of such ...Show More
Object Detection in Real-Time Systems: Going Beyond Precision
2018 IEEE Winter Conference on Applications of Computer Vision (WACV)
Year: 2018 | Conference Paper |
Cited by: Papers (9)
Applications like autonomous driving, industrial robotics, surveillance, and wearable assistive technology rely on object detectors as an integral part of the system. Thus, an increase in performance of object detectors directly affects the quality of such systems. In the recent years, convolutional neural networks (CNNs) and its variants emerged as the state of art in object detection, where perf...Show More
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