Update README.md

Author: hoya012

README.md

@@ -12,6 +12,8 @@ A paper list of object detection using deep learning. I worte this page with ref
 *2019/january* - update 4 papers and and add commonly used datasets.  
 *2019/february* - update 2 papers.
 
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 ## Table of Contents
 - [Paper list from 2014 to now(2019)](https://github.com/hoya012/deep_learning_object_detection/blob/master/README.md#paper-list-from-2014-to-now2019)
 - [Performance table](https://github.com/hoya012/deep_learning_object_detection/blob/master/README.md#performance-table)
@@ -24,6 +26,8 @@ A paper list of object detection using deep learning. I worte this page with ref
   - [2019](https://github.com/hoya012/deep_learning_object_detection/blob/master/README.md#2019)
 - [Dataset Papers](https://github.com/hoya012/deep_learning_object_detection/blob/master/README.md#dataset-papers)
 
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 ## Paper list from 2014 to now(2019)
 The part highlighted with red characters means papers that i think "must-read".
 However, it is **my personal opinion** and other papers are important too, so I recommend to read them if you have time.
@@ -32,6 +36,8 @@ However, it is **my personal opinion** and other papers are important too, so I
   <img width="1000" src="/assets/deep_learning_object_detection_history.PNG" "Example of object detection.">
 </p>
 
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 ## Performance table
 
 FPS(Speed) index is related to the hardware spec(e.g. CPU, GPU, RAM, etc), so it is hard to make an equal comparison. The solution is to measure the performance of all models on hardware with equivalent specifications, but it is very difficult and time consuming. 
@@ -85,13 +91,7 @@ So i
 |     M2Det    |          -          |          -          |     44.2   |    AAAI'19   |
 |     R-DAD    |     81.2 (07++12)   |    82.0 (07++12)    |     43.1   |    AAAI'19   |
 
-
-- [2014](#2014)
-- [2015](#2015)
-- [2016](#2016)
-- [2017](#2017)
-- [2018](#2018)
-- [2019](#2019)
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 ## 2014
 
@@ -241,7 +241,7 @@ So i
 
 - **[CAMOU]** CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild | Yang Zhang, et al. | **[ICLR' 19]** |[`[pdf]`](https://openreview.net/pdf?id=SJgEl3A5tm) 
 
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 ## Dataset Papers
 Statistics of commonly used object detection datasets. The Figure came from [this survey paper](https://arxiv.org/pdf/1809.02165v1.pdf).
@@ -263,6 +263,7 @@ The papers related to datasets used mainly in Object Detection are as follows.
 
 - **[Open Images]** The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale | A Kuznetsova, et al. | **[arXiv' 18]** | [`[pdf]`](https://arxiv.org/pdf/1811.00982v1.pdf) | [`[link]`](https://storage.googleapis.com/openimages/web/index.html)
 
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 ## Contact & Feedback