MAttNet: Modular Attention Network for Referring Expression Comprehension
Table 8: Instance segmentation results.
['net', '[ITALIC] AP', '[ITALIC] AP50', '[ITALIC] AP75']
Note this is not a strictly fair comparison as our model was trained with fewer images. Overall, the AP of our implementation is ∼2 points lower. The main reason may due to the shorter 600-pixel edge setting and smaller training batch size. Even though, our pixel-wise comprehension results already outperform the state-of-the-art ones with a huge margin (see Table. and we believe there exists space for further improvements.