Mixtures of Lightweight Deep Convolutional Neural Networks: Applied to Agricultural Robotics

IEEE Robotics and Automation Letters

Volumn 2, Issue 3, 2017, Pages 1344-1351

  McCool, Chris ^a   Perez, Tristan ^a   Upcroft, Ben ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Agricultural automation; computer vision for automation; recognition

Indexed keywords

AGRICULTURE; AUTOMATION; COMPLEX NETWORKS; CONVOLUTION; MIXTURES; NEURAL NETWORKS; ROBOTICS; SILVER COMPOUNDS;

AGRICULTURAL ROBOTICS; DEEP CONVOLUTIONAL NEURAL NETWORKS; FRAMES PER SECONDS; MODEL COMPRESSION; ORDERS OF MAGNITUDE; RECOGNITION; STATE-OF-THE-ART PERFORMANCE; TRADITIONAL APPROACHES;

DEEP NEURAL NETWORKS;

EID: 85063152717     PISSN: None     EISSN: 23773766     Source Type: Journal    
DOI: 10.1109/LRA.2017.2667039     Document Type: Article

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