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Semantic JPEG image compression using deep convolutional neural network (CNN)

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README.md		README.md
model.py		model.py
params.py		params.py
train.py		train.py
util.py		util.py

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Multi-Structure Region-of-interest

What this is ?

* Find all semantic regions in an image in a single pass
* Train without the localization data
* Maximize the number of objects detected (maybe all?)
* Need not be precise

What this is NOT ?

Not an object detector. For that checkout
- Fast RCNN, Faster-RCNN
Not a weakly labelled class detector or Class activation Map For that checkout
- Weakly detector
- CAM
Not saliency map or guided backprop For that checkout
- Lasagne saliency
- Grad-CAM
Not Semantic segmentation For that checkout
- Oxford CRF CNN
- Fully convolutional neural network