Learning Module Improvements
Improvements we would like to add to the learning modules.
We have a guide on customizing learning modules here.
These are the things we would like to implement:
- Use off-object observations #numsteps #multiobj
- Reinitialize hypotheses when starting to recognize a new object #multiobj
- Improve bounded evidence performance #multiobj
- Use models with less points #speed #generalization
- Make it possible to store multiple feature maps on one graph #featsandmorph
- Test particle-filter-like resampling of hypothesis space #accuracy #speed
- Re-anchor hypotheses #deformations #noise #generalization
- Less dependency on first observation #noise #multiobj
- Deal with incomplete models #learning
- Implement & test GNNs to model object behaviors & states #dynamic
- Deal with moving objects #dynamic #realworld
Please see the instructions here if you would like to tackle one of these tasks.
Updated 1 day ago