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jwyang committed Mar 15, 2018
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Expand Up @@ -26,12 +26,16 @@ During our implementing, we referred the above implementations, especailly [long

* **It is faster**. Based on the above modifications, the training is much faster. We report the training speed on NVIDIA TITAN Xp in the tables below.

## Other Resources
## Other Implementations

* [Feature Pyramid Network (FPN)](https://github.com/jwyang/fpn.pytorch)

* Mask R-CNN (ongoing)

## Tutorial

* [Blog](http://www.telesens.co/2018/03/11/object-detection-and-classification-using-r-cnns/) by [ankur6ue](https://github.com/ankur6ue)

## Benchmarking

We benchmark our code thoroughly on three datasets: pascal voc, coco and imagenet-200, using two different network architecture: vgg16 and resnet101. Below are the results:
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