CPC G06T 7/248 (2017.01) [G06T 7/33 (2017.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 7/40 (2013.01); G06T 2207/20084 (2013.01)] | 20 Claims |
1. A method comprising:
identifying, using one or more processors of a machine, an image;
generating a plurality of scaled images from the image;
generating image features for the plurality of scaled images using one or more convolutional neural networks;
generating an attention map based on texture data of pixels of the image using the one or more convolutional neural networks;
generating dense features by combining image features with attention values of the attention map;
identifying, using the dense features, a location within one or more images of an object depicted in each of the one or more images; and
generating one or more modified images from the one or more images using the location of the object in the one or more images.
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