  We present the first fully convolutional end-to-end solution for
instance-aware semantic segmentation task. It inherits all the merits of FCNs
for semantic segmentation and instance mask proposal. It performs instance mask
prediction and classification jointly. The underlying convolutional
representation is fully shared between the two sub-tasks, as well as between
all regions of interest. The proposed network is highly integrated and achieves
state-of-the-art performance in both accuracy and efficiency. It wins the COCO
2016 segmentation competition by a large margin. Code would be released at
\url{https://github.com/daijifeng001/TA-FCN}.
