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1 | 1 | # deep learning object detection |
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.. |
3 | 3 |
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4 | | -*Last updated: 2019/01/07* |
| 4 | +*Last updated: 2019/01/14* |
5 | 5 |
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6 | 6 | #### Update log |
7 | 7 | *2018/9/18* - update all of recent papers and make some diagram about history of object detection using deep learning. |
8 | 8 | *2018/9/26* - update codes of papers. (official and unofficial) |
9 | 9 | *2018/october* - update 5 papers and performance table. |
10 | 10 | *2018/november* - update 9 papers. |
11 | 11 | *2018/december* - update 8 papers and and performance table and add new diagram(**2019 version!!**). |
12 | | -*2019/january* - update 2 papers and and add some informations. |
| 12 | +*2019/january* - update 3 papers and and add some informations. |
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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59 | 59 | | YOLO v3 | - | - | 33.0 | arXiv'18 | |
60 | 60 | | SIN | 76.0 (07+12) | 73.1 (07++12) | 23.2 | CVPR'18 | |
61 | 61 | | STDN | 80.9 (07+12) | - | - | CVPR'18 | |
62 | | -| RefineDet | **83.8 (07+12)** | **83.5 (07++12)** | 41.8 | CVPR'18 | |
| 62 | +| RefineDet | 83.8 (07+12) | 83.5 (07++12) | 41.8 | CVPR'18 | |
63 | 63 | | SNIP | - | - | **45.7** | CVPR'18 | |
64 | 64 | |Relation-Network| - | - | 32.5 | CVPR'18 | |
65 | 65 | | Cascade R-CNN| - | - | 42.8 | CVPR'18 | |
66 | 66 | | MLKP | 80.6 (07+12) | 77.2 (07++12) | 28.6 | CVPR'18 | |
67 | 67 | | Fitness-NMS | - | - | 41.8 | CVPR'18 | |
68 | 68 | | RFBNet | 82.2 (07+12) | - | - | ECCV'18 | |
69 | 69 | | CornerNet | - | - | 42.1 | ECCV'18 | |
| 70 | +| PFPNet | **84.1 (07+12)** | **83.7 (07++12)** | 39.4 | ECCV'18 | |
70 | 71 | | Pelee | 76.4 (07+12) | - | - | NIPS'18 | |
71 | 72 | | HKRM | 78.8 (07+12) | - | 37.8 | NIPS'18 | |
72 | 73 | | M2Det | - | - | 44.2 | AAAI'19 | |
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205 | 206 |
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206 | 207 | - **[CornerNet]** CornerNet: Detecting Objects as Paired Keypoints | Hei Law, et al. | **[ECCV' 18]** |[`[pdf]`](https://arxiv.org/pdf/1808.01244.pdf) [`[official code - pytorch]`](https://github.com/princeton-vl/CornerNet) |
207 | 208 |
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| 209 | +- **[PFPNet]** Parallel Feature Pyramid Network for Object Detection | Seung-Wook Kim, et al. | **[ECCV' 18]** |[`[pdf]`](http://openaccess.thecvf.com/content_ECCV_2018/papers/Seung-Wook_Kim_Parallel_Feature_Pyramid_ECCV_2018_paper.pdf) |
| 210 | + |
208 | 211 | - **[ShapeShifter]** ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector | Shang-Tse Chen, et al. | **[ECML-PKDD' 18]** |[`[pdf]`](https://arxiv.org/pdf/1804.05810.pdf) [`[official code - tensorflow]`](https://github.com/shangtse/robust-physical-attack) |
209 | 212 |
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210 | 213 | - **[Pelee]** Pelee: A Real-Time Object Detection System on Mobile Devices | Jun Wang, et al. | **[NIPS' 18]** |[`[pdf]`](http://papers.nips.cc/paper/7466-pelee-a-real-time-object-detection-system-on-mobile-devices.pdf) [`[official code - caffe]`](https://github.com/Robert-JunWang/Pelee) |
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