Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A Demonstration of FPGA-Based You Only Look Once Version2 (YOLOv2)
a lightweight yolov2 : a binarized cnn with a parallel support vector regression for an fpga .
Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs
Xilinx FPGA implementation of a pixel processor for object detection applications
Novel FPGA based Haar classifier face detection algorithm acceleration
An FPGA-based stream processor for embedded real-time vision with Convolutional Networks
Object recognition with ORB and its Implementation on FPGA
You Only Look Once: Unified, Real-Time Object Detection
CNP: An FPGA-based processor for Convolutional Networks
High-Speed Image Feature Detection Using FPGA Implementation of Fast Algorithm.
Design space exploration of FPGA-based Deep Convolutional Neural Networks
Fpga-based face detection system using Haar classifiers
Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network
Object detection at 200 Frames Per Second
An efficient FPGA implementation of Optical Character Recognition for License Plate Recognition
BinaryEye: A 20 kfps Streaming Camera System on FPGA with Real-Time On-Device Image Recognition Using Binary Neural Networks
Real time object detection for an unmanned aerial vehicle using an FPGA based vision system
FPGA-Based Parallel Hardware Architecture for Real-Time Image Classification
Fast and efficient implementation of Convolutional Neural Networks on FPGA
An FPGA-optimized architecture of horn and schunck optical flow algorithm for real-time applications
Computational Social Science to Gauge Online Extremism
Fast and Accurate Analysis of Reflector Antennas With Phased Array Feeds Including Multiple Reflections Between Feed and Reflector
Perceived robot capability
The Theories of Reasoned Action and Planned Behavior Applied to Exercise: A Meta-analytic Update
On the Number of Linear Regions of Deep Neural Networks