You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello author, in the SimIPU paper, I find that the inter-modal module loss is gradient truncation in the point cloud features. When gradient backpropagation is considered, this step does not contribute to the update of the intra-modal module parameters. Why does adding this loss improve the point cloud 3D object detection performance?
The text was updated successfully, but these errors were encountered:
Hello author, in the SimIPU paper, I find that the inter-modal module loss is gradient truncation in the point cloud features. When gradient backpropagation is considered, this step does not contribute to the update of the intra-modal module parameters. Why does adding this loss improve the point cloud 3D object detection performance?
The text was updated successfully, but these errors were encountered: