Batch Normalization Masked Sparse Autoencoder for Robotic Grasping Detection
Zhenzhou Shao,Ying Qu,Guangli Ren,Guohui Wang,Yong Guan,Zhiping Shi,Jindong Tan,Zhenzhou Shao,Ying Qu,Guangli Ren,Guohui Wang,Yong Guan,Zhiping Shi,Jindong Tan
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 the features with weak correlation. The extracted features from such model are more distinctive, whi...
