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Behind the Pooled Table
The slide shows the pooled Table 4. Tables 2 and 3 of the paper give the same within-context Spearman ρ for every architecture and encoder state, in appearance space and in motion space; the supplement repeats them with the from-scratch configurations.
positive ρ: the distance predicts transfer (darker = stronger)negative ρ: anti-correlatedbold = best per cell, as marked in the papergreen box = coverage d(T→S), our claim
Read Table 3 row by row: coverage d(T→S) is the best or tied-best motion predictor in nearly every configuration, on real-motion and semantic targets alike, and the whole appearance table (Table 2) sits near zero or below it with DINOv3 representing appearance and the same estimator used in both spaces. Every column of these tables is one context of the 684 measurements you can explore below.