Reviews: LF-Net: Learning Local Features from Images

Authors introduce a novel method for learning local feature detector and descriptors in a single framework. Compared to previous works, this method uses pair of images (instead of pair of image patches) and employs data with estimated depth maps and camera parameters. Learning on full images is achieved with an image loss which bypasses the lack of differentiability by computing gradient for only one branch. Even though the method is novel, I have concerns regarding the clarity and correctness of the evaluation. The main strength of this work is the fact that it uses whole images for training the local feature detector.