This tutorial presents an interactive, data-driven exploration of adaptation techniques for vision foundation models. Participants will choose via live polling which precomputed experiment to examine next— from no finetuning to full finetuning. Each reveal will include performance metrics and clear visualizations. Brief discussion sessions will unpack observed behaviors and translate them into generalizable insights, without pre-committing to specific datasets or compute scenarios.
Read a detailed description here on GitHub.
