Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
CENTRIST: A Visual Descriptor for Scene Categorization
Dynamic scene understanding: The role of orientation features in space and time in scene classification
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Learning Hierarchical Features for Scene Labeling
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks
DLANet: A manifold-learning-based discriminative feature learning network for scene classification
Object-Part Attention Model for Fine-Grained Image Classification.
Objects as Attributes for Scene Classification
Learning Object-to-Class Kernels for Scene Classification
Action Recognition and Video Description using Visual Attention
Task-Driven Feature Pooling for Image Classification
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
A Deep-Local-Global Feature Fusion Framework for High Spatial Resolution Imagery Scene Classification
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models
Image Classification Based on the Combination of Text Features and Visual Features
Scene Classification With Recurrent Attention of VHR Remote Sensing Images
Deeply learned attributes for crowded scene understanding
PSANet: Point-wise Spatial Attention Network for Scene Parsing
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
Spatial Generalization from Learning Dynamics of Reaching Movements
INFORMATION SECURITY CHALLENGES OF SOCIAL MEDIA FOR COMPANIES
Psychiatric disorder comorbidity and association with eating disorders in bariatric surgery patients: A cross-sectional study using structured interview-based diagnosis.
A novel automatic white balance method for digital still cameras