Slot Attention is a latest methodology for unsupervised object illustration studying Locatello et al. 2020) proposed Slot Attention module the place every slot might bind to any object in the scene. Cao and Rei (2016) proposed to learn word embeddings by making use of a bi-directional RNN over the character sequence and weighting every illustration…
This post is only available to members.