Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)
Orientation robust object detection in aerial images using deep convolutional neural network
Fast Vehicle Detection in Aerial Imagery
Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Damage detection from aerial images via convolutional neural networks
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery
Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images
Vehicle detection from high-resolution aerial images using spatial pyramid pooling-based deep convolutional neural networks
Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network
A Comparison: Different DCNN Models for Intelligent Object Detection in Remote Sensing Images
Convolutional SVM Networks for Object Detection in UAV Imagery
Real-time Accurate Object Detection using Multiple Resolutions
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Interactive Object Detection
Scalable, High-Quality Object Detection
Wide-residual-inception networks for real-time object detection
A review and an approach for object detection in images
DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling
conventionally , non - invasive bp has been measured using a sphygmomanometer based on the design proposed by .
Object detection in high resolution satellite images
Machine Learning in Bioinformatics
Self-supervised Learning of Motion Capture
Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types