To this end, we propose to treat the video frames as samples from an unknown distribution, enabling us to frame their distance calculation as an optimal transport (OT) problem. Notably, the OT - based formulation allows us to relax the previously mentioned assumptions. To further improve performance, we enhance the OT formulation by introducing two regularization terms.

In our case, we have only one object class ("insect") so the

Current PEFT methods for LLMs can achieve high quality, efficient training, or scalable serving, but not all three simultaneously.