DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatio-temporal analysis for obstacle detection in agricultural videos

(2016) Yerania Campos et al.   APPLIED SOFT COMPUTING

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Detection of Bird Nests during Mechanical Weeding by Incremental Background Modeling and Visual Saliency

(2015) Kim Steen et al.   SENSORS

Fast Feature Pyramids for Object Detection

(2014) Piotr Dollar et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Pascal Visual Object Classes Challenge: A Retrospective

(2014) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Comparative study of background subtraction algorithms

(2010) Pierre-Marc Jodoin   JOURNAL OF ELECTRONIC IMAGING

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS