Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Structured Prediction for Object Detection in Deep Neural Networks
Scalable Object Detection Using Deep Neural Networks
Deep Reinforcement Learning of Region Proposal Networks for Object Detection
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection
A MultiPath Network for Object Detection
Object Detection from Scratch with Deep Supervision
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
Parallel Feature Pyramid Network for Object Detection
Fully Connected Deep Structured Networks
PDNet: Prior-Model Guided Depth-Enhanced Network for Salient Object Detection
Iterative localization refinement in convolutional neural networks for improved object detection
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks
Attentional Network for Visual Object Detection
MSDNN: Multi-Scale Deep Neural Network for Salient Object Detection
Hierarchical Object Detection with Deep Reinforcement Learning
Towards lightweight convolutional neural networks for object detection
Mimicking Very Efficient Network for Object Detection
Temporal Action Detection with Structured Segment Networks
A general framework for object detection
Silicon Interposer Warpage Study for 2.5D IC without TSV Utilizing Glass Carrier CTE and Passivation Thickness Tuning
wisskirchen p : real - time integration of synthetic computer graphics into live video scenes .
"Time is the bottleneck": a qualitative study exploring why learners drop out of MOOCs
semantic mashups .
The wake-sleep algorithm for unsupervised neural networks