3

Propose a “Swiss Army Knife” approach to preserve and exploit representation biases during distillation from multiple Vision Foundation Models.

Achieve pixel-level grounding in LMMs without explicit grounding supervision.

Accelerate performance estimation for exploring new model configurations, improving neural achitecture search and hyper-parameter optimization within limited time.