Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Siamese Neural Networks for One-shot detection of Railway Track Switches
Vision Based Railway Track Monitoring using Deep Learning
One-Shot Segmentation in Clutter
Semi-Supervised Self-Training of Object Detection Models
One-Shot Learning in Discriminative Neural Networks
Transfer Learning for Object Detection using State-of-the-Art Deep Neural Networks
Abandoned Object Detection Using Pixel-Based Finite State Machine and Single Shot Multibox Detector
Better Digit Recognition with a Committee of Simple Neural Nets
Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking
Attentional convolutional neural networks for object tracking
Once for All: A Two-Flow Convolutional Neural Network for Visual Tracking
Matching Networks for One Shot Learning
ReSeg: A Recurrent Neural Network for Object Segmentation
Learning object detection from a small number of examples: the importance of good features
STN-OCR: A single Neural Network for Text Detection and Text Recognition
Training Region-Based Object Detectors with Online Hard Example Mining
siamese networks for one shot learning using kernel based activation functions .
Knowledge-based Recurrent Attentive Neural Network for Traffic Sign Detection.
Closed-form Estimators for High-dimensional Generalized Linear Models
Deep Multitask Learning for Railway Track Inspection
A novel deep learning approach for classification of EEG motor imagery signals.
Theory of keyblock-based image retrieval
Serum Interleukin-27 Level in Different Clinical Stages of Lung Cancer