Sherlock: Scalable Fact Learning in Images
Table 5: Generalization: SPO Facts of less than or equal 5 examples (K10 metric)
['[BOLD] Cases', '[BOLD] SP≥15, O≥15', '[BOLD] PO≥15, ≥15', '[BOLD] SO≥15, P≥15', '[BOLD] S≥15, PO≥15', '[BOLD] SO≥15, PO≥15', '[BOLD] SO≥15, SP≥15', '[BOLD] S,P,O≥15', '[BOLD] S,P,O≥100']
For example, the column SP≥15, O≥15 means ≤5 examples of an SPO that has at least 15 examples for the SP part and for the O part. An example of this case is when we see zero or very few examples of  , but we see at least 15 examples of   and at least 15 examples of something interacting with a horse . We found a similar generalization behavior for SP facts that have no more than 5 examples during training. We add more figures and additional results in the supplementary materials.