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Yu Xiang committed Jun 23, 2016
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Expand Up @@ -5,7 +5,7 @@ based on the [Fast R-CNN](https://github.com/rbgirshick/fast-rcnn) created by Ro

### Introduction

We introduce a new region proposal network that uses subcategory information to guide the proposal generating process, and a new detection network for joint detection and subcategory classification. By using subcategories related to object pose, we achieve state-of-the-art performance on both detection and pose estimation on commonly used benchmarks, such as KITTI and PASCAL3D+.
We introduce a new region proposal network that uses subcategory information to guide the proposal generating process, and a new detection network for joint detection and subcategory classification. By using subcategories related to object pose, we achieve state-of-the-art performance on both detection and pose estimation on commonly used benchmarks, such as [KITTI](http://www.cvlibs.net/datasets/kitti/eval_object_detail.php?result=5e17cbbabbf775d8cc376793168be49bd6f01608) and PASCAL3D+.

This package supports
- Subcategory-aware region proposal network
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