An FPGA-Based Energy-Efficient Reconfigurable Convolutional Neural Network Accelerator for Object Recognition Applications.
Jixuan LiKa-Fai UnWei-Han YuPui-In MakRui Paulo MartinsPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2021)
Keyphrases
- energy efficient
- convolutional neural network
- field programmable gate array
- object recognition
- hardware implementation
- wireless sensor networks
- face detection
- parallel computing
- sensor networks
- energy consumption
- embedded systems
- object detection
- computer vision
- hardware architecture
- image processing algorithms
- data dissemination
- energy efficiency
- data aggregation
- computing systems
- multi hop
- smart camera
- massively parallel
- low cost
- data gathering
- base station
- data processing
- sensor nodes
- routing protocol
- multi core architecture
- routing algorithm
- detection method