Topic Tag: image

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 What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?

   

In neural image captioning systems, a recurrent neural network (RNN) is typically viewed as the primary generation' component. This view suggests that the image features should beinjected’ into the RNN. This is in fact the dominant view in the literature. Alternatively, the RNN can inste…


 Learning the Enigma with Recurrent Neural Networks

    

Recurrent neural networks (RNNs) represent the state of the art in translation, image captioning, and speech recognition. They are also capable of learning algorithmic tasks such as long addition, copying, and sorting from a set of training examples. We demonstrate that RNNs can learn decryption al…


 Expressions in Virtual Reality

   

Posted by Steven Hickson, Software Engineering Intern, and Nick Dufour, Avneesh Sud, Software Engineers, Machine Perception Recently Google Machine Perception researchers, in collaboration with Daydream Labs and YouTube Spaces, presented a solution for virtual headset ‘removal’ for mixed realit…


 Automatic image retouching on your phone

System can apply a range of styles in real-time, so that the viewfinder displays the enhanced image. Automatic image retouching on your phone by Larry Hardesty | MIT News Office


 Advancing computer vision technologies at CVPR 2017

Sharing the latest in computer vision research Artificial Intelligence (AI) is central to today’s Facebook experiences. It is woven intricately […] Advancing computer vision technologies at CVPR 2017 by Kelly Berschauer


 An Update to Open Images – Now with Bounding-Boxes

   

Posted by Vittorio Ferrari, Research Scientist, Machine Perception Last year we introduced Open Images, a collaborative release of ~9 million images annotated with labels spanning over 6000 object categories, designed to be a useful dataset for machine learning research. The initial release feature…


 Artificial intelligence suggests recipes based on food photos

Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes. Artificial intelligence suggests recipes based on food photos by Adam Conner-Simons | Rachel Gordon | CSAIL


 Creating videos of the future

Given a still image, CSAIL deep-learning system generates videos that predict what will happen next in a scene. Creating videos of the future by Adam Conner-Simons | Rachel Gordon | CSAIL