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Deep3DRanker: A Novel Framework for Learning to Rank 3D Models with Self-Attention in Robotic Vision.
Frank Po Wen Lo
Yao Guo
Yingnan Sun
Jianing Qiu
Benny Lo
Published in:
ICRA (2021)
Keyphrases
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learning to rank
probabilistic model
information retrieval
bayesian framework
robotic vision
feature vectors
ranking functions
evaluation measures
learning to rank algorithms
exploration exploitation dilemma
image processing
loss function
model selection
document retrieval
evaluation metrics
ranking svm