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SwinWave-SR: Multi-scale lightweight underwater image super-resolution
The resource-limited nature of underwater vision equipment leads to poor, otherwise low-
resolution information affecting the downstream underwater robotics and ocean engineering …
resolution information affecting the downstream underwater robotics and ocean engineering …
Learning-based edge-device collaborative dnn inference in iovt networks
Deep neural network (DNN) is a promising technology for Internet of Visual Things (IoVT)
devices to extrct their visual information from unstructured data. However, it is hard to deploy …
devices to extrct their visual information from unstructured data. However, it is hard to deploy …
Partnner: Platform-agnostic adaptive edge-cloud dnn partitioning for minimizing end-to-end latency
The last decade has seen the emergence of Deep Neural Networks (DNNs) as the de facto
algorithm for various computer vision applications. In intelligent edge devices, sensor data …
algorithm for various computer vision applications. In intelligent edge devices, sensor data …
Consumer-centric insights into resilient small object detection: Sciou loss and recursive transformer network
L Wang, Y Shi, G Mao, FA Dharejo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As an emerging consumer electronic product, the use of unmanned aerial vehicle (UAV) for
a variety of tasks has received growing attention and favor in the enterprise or individual …
a variety of tasks has received growing attention and favor in the enterprise or individual …
Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges
Semantic Edge Computing (SEC) and Semantic Communications (SemComs) have been
proposed as viable approaches to achieve real-time edge-enabled intelligence in sixth …
proposed as viable approaches to achieve real-time edge-enabled intelligence in sixth …