Detection methods based on deep convolutional networks search for interest points by constructing response maps using supervised, self-supervised, and unsupervised methods. Supervised methods use ...

The input image first passes through the preprocessing module. Then, the processed image passesto our aligned model. After bidirectional propagation and cascade residual upsampling, we finally get our ...