##-------------------------------------------------single frame----------------------------------------------------# 1. Path Aggregation Network for Instance Segmentation 1.PANet: Path aggregation network for instance segmentation_Shu Liu_CVPR 2018 paper link: https://arxiv.org/abs/1803.01534 source code: code will be available ( caffe based) 1> Framework: 2> Contributions: 1bottom-up network structure (1) Bottom-up Path Augmentation: shorten the distance among lower and topmost feature levels for reliable information passing (2) Adaptive Feature Pooling: pool features from all feature levels (3) Fully-connected Fusion: the complementary path is augmented to enrich feature for each proposal. 3> Performance: (1)3~4 point better thatn Mask-RCNN on COCO, Cityscapes. (2) 1st for instance segmentation and 2nd for detection on COCO. 4> disadvantages: (1) maybe slow. (2) computing expensive and memory consuming. 2. Pose2Seg:...