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04/13/2023
An Automotive Case Study on the Limits of Approximation for Object Detection
The accuracy of camera-based object detection (CBOD) built upon deep lea...
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02/28/2023
At-Scale Evaluation of Weight Clustering to Enable Energy-Efficient Object Detection
Accelerators implementing Deep Neural Networks for image-based object de...
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06/30/2021
Improving the Efficiency of Transformers for Resource-Constrained Devices
Transformers provide promising accuracy and have become popular and used...
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05/06/2021
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices
From computer vision and speech recognition to forecasting trajectories ...
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04/15/2021
