Deep Learning, Artificial Intelligence, Convolutional Network, Object Detection, Data Science.
object proposal, the RoI-pooling layer projects the proposal onto the conv feature map and extracts a fixed-length feature vector. Each feature vector is fed into the fc layers, which finally give two outputs: Softmax probability and regressed coordinates for bounding-box. For each minibatch, N