Learn to Predict Sets Using Feed-Forward Neural Networks

Rezatofighi Hamid
Rezatofighi Hamid
Kaskman Roman
Kaskman Roman
Motlagh Farbod T.
Motlagh Farbod T.
Reid Ian
Reid Ian
Cited by: 3|Views131

Abstract:

This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a collection of elements which is invariant under permutation and the size of a set is not fixed in advance. Many real-world problems, such as image tagging and object detection, have outputs that are naturally expressed as sets of entities...More

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