Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: On the Utility of Context (or the Lack Thereof) for Object Detection.
Deep Feature Based Contextual Model for Object Detection
An overview of object detection and tracking
Context-based vision system for place and object recognition
segDeepM: Exploiting segmentation and context in deep neural networks for object detection
OCNet: Object Context Network for Scene Parsing
Cross-Modal Attentional Context Learning for RGB-D Object Detection
A general framework for object detection
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection
Unsupervised Moving Object Detection via Contextual Information Separation
Salient Object Detection: A Survey
Adaptive object tracking by learning background context
Interactive Object Detection
Sixth-Sense: Context Reasoning for Potential Objects Detection in Smart Sensor Rich Environment
Microsoft COCO: Common Objects in Context
Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images
Occlusion Boundary Detection via Deep Exploration of Context
Object Recognition with and without Objects
A Survey of Modern Object Detection Literature using Deep Learning
A review and an approach for object detection in images
3D object recognition in range images using visibility context
top management ' s attention to discontinuous technological change : corporate venture capital as an alert mechanism .
O BJECT DETECTORS EMERGE IN D EEP S CENE CNN S
Online Learning with Predictable Sequences
A Survey of First-Order Probabilistic Models
structured and efficient variational deep learning with matrix gaussian posteriors .