26 citations · 50 across the 9 of their papers we have counts for
4 papers · 1 filter
Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence
Adewale Adeyemo, Travis Sandefur, Tolulope A. Odetola +1
Deep learning applications have achieved great success in numerous real-world applications. Deep learning models, especially Convolution Neural Networks (CNN) are often prototyped…
Security Analysis of Capsule Network Inference using Horizontal Collaboration
Adewale Adeyemo, Faiq Khalid, Tolulope A. Odetola +1
The traditional convolution neural networks (CNN) have several drawbacks like the Picasso effect and the loss of information by the pooling layer. The Capsule network (CapsNet) was…
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
Tolulope A. Odetola, Katie M. Groves, Syed Rafay Hasan
FPGAs have become a popular choice for deploying deep learning architectures (DLA). There are many researchers that have explored the deployment and mapping of DLA on FPGA. However…
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices
Tolulope A. Odetola, Ogheneuriri Oderhohwo, Syed Rafay Hasan
Convolution Neural Networks (CNN) have performed well in many applications such as object detection, pattern recognition, video surveillance and so on. CNN carryout feature extract…