Research License — SOCKET

SOurce-free Cross-modal KnowledgE Transfer for transfering knowledge from neural networks trained on a source sensor modality.

SOCKET allows transferring knowledge from neural networks trained on a source sensor modality (such as RGB) for one or more domains where large amount of annotated data may be available to an unannotated target dataset from a different sensor modality (such as infrared or depth). It makes use of task-irrelevant paired source-target images in order to promote feature alignment between the two modalities as well as distribution matching between the source batch norm features (mean and variance) and the target features.


Access software at github.com/merlresearch/SOCKET.