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# adapt_yto | ||
# Adapting Object Detectors | ||
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Implementation of the paper [Adapting Object Detectors from Images toWeakly Labeled Videos](http://www.cs.umanitoba.ca/~ywang/papers/bmvc17_adapt.pdf). | ||
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### Usage | ||
The first step of our approach is to generate a shortlist of object proposals from source and target images. We use the edge boxes algorithm for generating the object proposals. | ||
Let K be the number of object proposals generated on the image. We represent each proposal as a 4096-dimensional CNN feature vector. | ||
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### Run the experiment | ||
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### Model Architecture | ||
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![model architecture](./data/architecture.png) | ||
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