FiLM: Visual Reasoning with a General Conditioning Layer
Figure 9: CoGenT results. FiLM ValB accuracy reported on ValB without the 30K fine-tuning samples (Figure). Accuracy before and after fine-tuning on 30K of ValB (Table).
['Method', '[BOLD] Train A A', '[BOLD] Train A B', '[BOLD] Fine-tune B A', '[BOLD] Fine-tune B B']
Our results indicate FiLM surpasses other visual reasoning models at learning general concepts. FiLM learns better compositional generalization even than PG+EE, which explicitly models compositionality and is trained with program-level supervision that specifically includes filtering colors and filtering shapes.