Exploring the loss landscape offers insights into the inherent principles of deep neural networks (DNNs).

Antibodies are crucial proteins produced by the immune system to eliminate harmful foreign substances and have become pivotal therapeutic agents for treating human diseases.

All instantiations of this paradigm were trained using strong and well-established hand-crafted data augmentations, leading to the general belief that they are required for the proper training and performance of such models.

However, constructing a high-resolution occupancy map remains infeasible for large scenes due to computational constraints.