MAttNet: Modular Attention Network for Referring Expression Comprehension
Table 7: Object detection results.
['net', '[ITALIC] APbb', '[ITALIC] APbb50', '[ITALIC] APbb75']
We firstly show the comparison between Faster R-CNN and Mask R-CNN on object detection in Table. Both models are based on ResNet101 and were trained using same setting. In the main paper, we denote them as res101-frcn and res101-mrcn respectively. It shows that Mask R-CNN has higher AP than Faster R-CNN due to the multi-task training (with additional mask supervision).