Adapting Object Detectors

Implementation of the paper Adapting Object Detectors from Images toWeakly Labeled Videos.

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

1. Get into each folder named as class name [i.e. 01_aeroplane].
2. Keep the .t7 file of the dataset with data, ground truth bounding box, class label and proposals.
3. Run doall.lua file using th command [i.e. th ../doall.lua].

Model Architecture