Deep Set Prediction Networks
2019-06-15NeurIPS 2019Code Available0· sign in to hype
Yan Zhang, Jonathon Hare, Adam Prügel-Bennett
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/Cyanogenoid/dspnOfficialIn paperpytorch★ 0
Abstract
Current approaches for predicting sets from feature vectors ignore the unordered nature of sets and suffer from discontinuity issues as a result. We propose a general model for predicting sets that properly respects the structure of sets and avoids this problem. With a single feature vector as input, we show that our model is able to auto-encode point sets, predict the set of bounding boxes of objects in an image, and predict the set of attributes of these objects.