Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Fully Convolutional Attention Networks for Fine-Grained Recognition
Multiple Object Recognition with Visual Attention
Bilinear CNN Models for Fine-Grained Visual Recognition
Lateral Inhibition-inspired Convolutional Neural Network for Visual Attention and Saliency Detection
On the relationship between visual attributes and convolutional networks
Hierarchical Multi-scale Attention Networks for Action Recognition
Deep Visual Attention Prediction.
inference , learning and attention mechanisms that exploit and preserve sparsity in convolutional networks .
Fast Image Processing with Fully-Convolutional Networks
Attentional convolutional neural networks for object tracking
Deep Neural Net with Attention for Multi-channel Multi-touch Attribution
Improving Fully Convolution Network for Semantic Segmentation
Learning a Fully Convolutional Network for Object Recognition using very few Data
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery
An attention model based on spatial transformers for scene recognition
What Do We Understand About Convolutional Networks?
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension
PiCANet: Learning Pixel-wise Contextual Attention in ConvNets and Its Application in Saliency Detection
Object Detection Networks on Convolutional Feature Maps
Combining segmentation and attention: a new foveal attention model
Fine-grained attention for image caption generation
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks
Predicting occupation via human clothing and contexts
Automatic car number plate recognition
Phrase Structure Grammar
Revisiting k-means: New Algorithms via Bayesian Nonparametrics