Publication

Learning to Assign Orientations to Feature Points

Related publications (36)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Learning to Assign Orientations to Feature Points

Graph Chatbot

Chat with Graph Search

Neural tensor contractions and the expressive power of deep neural quantum states

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Learning Lipschitz-Controlled Activation Functions in Neural Networks for Plug-and-Play Image Reconstruction Methods

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Disentangling feature and lazy training in deep neural networks

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning

AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Learning Activation Functions in Deep (Spline) Neural Networks

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks