Analyzing The Papers Behind Facebook's Computer Vision Approach
Read OriginalThis technical article analyzes the core computer vision research from Facebook AI Research (FAIR). It details the three-paper pipeline for object segmentation: DeepMask for generating candidate object masks, SharpMask for refining those masks, and MultiPathNet for classifying the segmented objects. The summary includes explanations of the network architectures and methodologies from the original research.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser