Fig. 3
Controlled detection evaluation of DAMM. (A–C) Organization of a controlled evaluation dataset, comprising samples conditioned on three distinct groups: (A) environments (3 types), (B) mice coat colors (3 colors), (C) and camera types (2 types). From these categories, we generated all possible combinations, resulting in 18 mini-datasets. Each of these 18 mini-datasets contains 70 annotated frames, randomly sampled from a 5-min video recording corresponding to the specific combination of conditions. (D–F) Mask AP75 average performance over all datasets containing the condition of interest, conducted for 0-shot, 5-shot, 10-shot, and 20-shot scenarios. In each scenario, we use up to 20 examples for training and 50 examples for testing.
