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DeepWalk: Online Learning of Social Representations
Perozzi, B., Al-Rfou, R., & Skiena, S. (2014, August). Deepwalk: Online learning of social representations. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 701-710). ACM. -
node2vec: Scalable Feature Learning for Networks
Grover, A., & Leskovec, J. (2016, August). node2vec: Scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 855-864). ACM. -
Semi-Supervised Classification with Graph Convolutional Networks
Thomas N. Kipf, Max Welling. (2017). Semi-Supervised Classification with Graph Convolutional Networks. In International Conference on Learning Representations(ICLR).
- Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. (2015, December). Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 770-778.
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R-CNN
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Fast R-CNN
R. Girshick, "Fast R-CNN," 2015 IEEE International Conference on Computer Vision (ICCV), Santiago, 2015, pp. 1440-1448, doi: 10.1109/ICCV.2015.169. -
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
S. Ren, K. He, R. Girshick and J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 6, pp. 1137-1149, 1 June 2017, doi: 10.1109/TPAMI.2016.2577031. -
You Only Look Once: Unified, Real-Time Object Detection
J. Redmon, S. Divvala, R. Girshick and A. Farhadi, "You Only Look Once: Unified, Real-Time Object Detection," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016, pp. 779-788, doi: 10.1109/CVPR.2016.91. -
YOLO9000: Better, Faster, Stronger
J. Redmon and A. Farhadi, "YOLO9000: Better, Faster, Stronger," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017, pp. 6517-6525, doi: 10.1109/CVPR.2017.690. -
YOLOv3: An Incremental Improvement
J. Redmon and A. Farhadi, "YOLOv3: An Incremental Improvement", arXiv preprint arXiv:1804.02767, 2018.
| 카테고리 | 논문 제목 | 논문 리뷰 |
|---|---|---|
| Graph | DeepWalk: Online Learning of Social Representations | - |
| Graph | Node2vec: Scalable Feature Learning for Networks | 줄글 pdf, 발표용 pdf |
| Graph | Semi-Supervised Classification with Graph Convolutional Networks | - |
| NN | Deep Residual Learning for Image Recognition | - |
| Object Detection | R-CNN | - |
| Object Detection | Fast R-CNN | - |
| Object Detection | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks | - |
| Object Detection | You Only Look Once: Unified, Real-Time Object Detection | 발표용 pdf |
| Object Detection | YOLO9000: Better, Faster, Stronger | - |
| Object Detection | YOLOv3: An Incremental Improvement | - |
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