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In this work , we study how Convolutional Neural Networks -LRB- CNN -RRB- architectures can be adapted to the task of simultaneous object recognition and pose estimation .
 used for: Convolutional Neural Networks -LRB- CNN -RRB- architectures, object recognition; used for: Convolutional Neural Networks -LRB- CNN -RRB- architectures, pose estimation; conjunction: object recognition, pose estimation
Given a phrase that describes the relationship between two words, extract the words and the lexical relationship between them. The output format should be "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 used for: Convolutional Neural Networks -LRB- CNN -RRB- architectures, object recognition; used for: Convolutional Neural Networks -LRB- CNN -RRB- architectures, pose estimation; conjunction: object recognition, pose estimation