Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation
Breast cancer is one of the most common causes of death among women worldwide. Early
signs of breast cancer can be an abnormality depicted on breast images (eg, mammography …
signs of breast cancer can be an abnormality depicted on breast images (eg, mammography …
A survey of fpga-based robotic computing
Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …
Hardware implementation of SLAM algorithms: a survey on implementation approaches and platforms
Simultaneous localization and map** (SLAM) is an active research topic in machine
vision and robotics. It has various applications in many different fields such as mobile robots …
vision and robotics. It has various applications in many different fields such as mobile robots …
Comparative Survey of Embedded System Implementations of Convolutional Neural Networks in Autonomous Cars Applications
In the rapidly evolving field of autonomous cars, advanced deep learning systems have
ushered in a new era of innovation, enabling the integration of unique features into vehicles …
ushered in a new era of innovation, enabling the integration of unique features into vehicles …
MobileSP: An FPGA-based real-time keypoint extraction hardware accelerator for mobile VSLAM
Y Liu, J Li, K Huang, X Li, X Qi, L Chang… - … on Circuits and …, 2022 - ieeexplore.ieee.org
Keypoint extraction is a key technique for Visual Simultaneous Localization and Map**
(VSLAM). Recently, Convolutional Neural Network (CNN) has been used in the keypoint …
(VSLAM). Recently, Convolutional Neural Network (CNN) has been used in the keypoint …
HASP: Hierarchical asynchronous parallelism for multi-NN tasks
The rapid development of deep learning has propelled many real-world artificial intelligence
applications. Many of these applications integrate multiple neural networks (multi-NN) to …
applications. Many of these applications integrate multiple neural networks (multi-NN) to …
FPSNET: an architecture for neural-network-based feature point extraction for SLAM
The hardware architecture of a deep-neural-network-based feature point extraction method
is proposed for the simultaneous localization and map** (SLAM) in robotic applications …
is proposed for the simultaneous localization and map** (SLAM) in robotic applications …
An FPGA-Based High-Throughput Keypoint Detection Accelerator Using Convolutional Neural Network for Mobile Robot Applications
J Li, Y Liu, K Huang, L Zhou, L Chang… - 2022 IEEE Asia Pacific …, 2022 - ieeexplore.ieee.org
Keypoint detection is a key procedure for Visual-Inertial Odometry (VIO). In recent years,
Convolutional Neural Network (CNN) has been introduced to enhance the robustness of …
Convolutional Neural Network (CNN) has been introduced to enhance the robustness of …