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omitum authored Sep 20, 2017
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# adapt_yto
# Adapting Object Detectors

Implementation of the paper [Adapting Object Detectors from Images toWeakly Labeled Videos](http://www.cs.umanitoba.ca/~ywang/papers/bmvc17_adapt.pdf).

### 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.

### Run the experiment

### Model Architecture

![model architecture](./data/architecture.png)


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