Reviews: Heterogeneous Graph Learning for Visual Commonsense Reasoning

Originality: The VCR task is a novel task (proposed by Zellers et al, CVPR19). The proposed HGL framework for this interesting task is novel and interesting. The paper applies the HGL framework on top of the baseline model (R2C from Zellers et al., CVPR19) and shows significant improvements. The paper compares other existing graph learning approaches. The main difference between the proposed approach and other graph learning approaches is the heterogeneous nature (across domains – vision and language) of the graph learning framework. Quality: The paper does a good job of evaluating the propsed approach and its ablations.