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aayushe singh
aayushe singh

aayushe singh

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From Simple Understanding of Mask RCNN by Xiang Zhang

What is backbone? Backbone is a FPN style deep neural network. It consists of a bottom-up pathway , a top-bottom pathway and lateral connections. Bottom-up pathway can be any ConvNet, usually ResNet or VGG, which extracts features from raw images. Top-bottom pathway generates feature pyramid map which is similar in size to bottom-up pathway. Lateral connections are convolution and adding operations between two corresponding levels of the two pathways. FPN outperforms other single ConvNets mainly for the reason that it maintains strong semantically features at various resolution scales.

From A gentle introduction to OCR by Gidi Shperber

As we’ve seen and implied, the text recognition is mostly a two-step task. First, you would like to detect the text(s) appearances in the image, may it be dense (as in printed document) or sparse (As text in the wild).

From Splash of Color: Instance Segmentation with Mask R-CNN and TensorFlow by Waleed Abdulla

Using the RPN predictions, we pick the top anchors that are likely to contain objects and refine their location and size. If several anchors overlap too much, we keep the one with the highest foreground score and discard…

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Real-Time Face Pose Estimation with Deep Learning

Arnaldo Gualberto

TEMPORAL CONVOLUTIONAL NETWORKS

Raushan Roy

Simple Understanding of Mask RCNN

Xiang Zhang