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1 | 1 | # deep learning object detection
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2 | 2 | A paper list of object detection using deep learning. I worte this page with reference to [this survey paper](https://arxiv.org/pdf/1809.02165v1.pdf) and searching and searching..
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3 | 3 |
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4 |
| -*Last updated: 2019/01/14* |
| 4 | +*Last updated: 2019/01/26* |
5 | 5 |
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6 | 6 | #### Update log
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7 | 7 | *2018/9/18* - update all of recent papers and make some diagram about history of object detection using deep learning.
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8 | 8 | *2018/9/26* - update codes of papers. (official and unofficial)
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9 | 9 | *2018/october* - update 5 papers and performance table.
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10 | 10 | *2018/november* - update 9 papers.
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11 | 11 | *2018/december* - update 8 papers and and performance table and add new diagram(**2019 version!!**).
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12 |
| -*2019/january* - update 4 papers and and add some informations. |
| 12 | +*2019/january* - update 4 papers and and add commonly used datasets. |
13 | 13 |
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14 | 14 |
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15 | 15 | ## paper list from 2014 to now(2019)
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@@ -226,6 +226,26 @@ So i
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226 | 226 | - **[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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227 | 227 |
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228 | 228 |
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| 229 | + |
| 230 | +## Dataset Paper |
| 231 | +Statistics of commonly used object detection datasets. The Figure came from [this survey paper](https://arxiv.org/pdf/1809.02165v1.pdf). |
| 232 | +<p align="center"> |
| 233 | + <img width="1000" src="/assets/deep_learning_object_detection_dataset.PNG" "Commonly used object detection datasets."> |
| 234 | +</p> |
| 235 | + |
| 236 | +The papers related to datasets used mainly in Object Detection are as follows. |
| 237 | + |
| 238 | +- **[ImageNet]** ImageNet: A Large-Scale Hierarchical Image Database | Jia Deng, et al. | **[CVPR' 09]** | [`[pdf]`](http://www.image-net.org/papers/imagenet_cvpr09.pdf) |
| 239 | + |
| 240 | +- **[PASCAL VOC]** The PASCAL Visual Object Classes (VOC) Challenge | Mark Everingham, et al. | **[IJCV' 10]** | [`[pdf]`](http://host.robots.ox.ac.uk/pascal/VOC/pubs/everingham10.pdf) |
| 241 | + |
| 242 | +- **[PASCAL VOC]** The PASCAL Visual Object Classes Challenge: A Retrospective | Mark Everingham, et al. | **[IJCV' 15]** | [`[pdf]`](http://host.robots.ox.ac.uk/pascal/VOC/pubs/everingham15.pdf) |
| 243 | + |
| 244 | +- **[COCO]** Microsoft COCO: Common Objects in Context | Tsung-Yi Lin, et al. | **[ECCV' 14]** | [`[pdf]`](https://arxiv.org/pdf/1405.0312.pdf) |
| 245 | + |
| 246 | +- **[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) |
| 247 | + |
| 248 | + |
229 | 249 | ## Contact & Feedback
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230 | 250 |
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231 | 251 | If you have any suggestions about papers, feel free to mail me :)
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