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Showing posts from May, 2018

detection and tracking demo

Matlab2018: /usr/local/MATLAB docker path: /home/uni/Lab/Tools

github accumulation

1. introduction to basic operations https://guides.github.com/activities/hello-world/ 2. uploading an existing project to github https://help.github.com/articles/adding-an-existing-project-to-github-using-the-command-line/ 3. Learn Markdown https://bitbucket.org/tutorials/markdowndemo

Instance-level segmentation survey

Image
##-------------------------------------------------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:...