2020
Batch Normalization Masked Sparse Autoencoder for Robotic Grasping Detection
IROS 2020poster
To improve the accuracy of the grasping detection, this paper proposes a novel detector with batch normalization masked evaluation model. It is designed with a two-layer sparse autoencoder, and a Batch Normalization based mask is incorporated into the second layer of the model to effectively reduce…