Before revision:  We present a model that accepts asalience signal , and returns a reverse salience signal . We demonstrate that we can tag an image with salience with only a single training iteration, and that the same image will then produces the highest reverse salience signal during classification .
After revision:  We present a model that accepts asalience signal , and returns a reverse salience signal salience response during classification (inference) .