| 1 | Describing Videos by Exploiting Temporal Structure, 10.1109/ICCV.2015.512 |
| 2 | Incorporating Relation Paths in Neural Relation Extraction, 10.18653/v1/D17-1186 |
| 3 | https://blog.dataiku.com/how-deep-does-your-sentence-embedding-model-need-to-be |
| 4 | https://adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/ |
| 5 | Deep Temporal Linear Encoding Networks, 10.1109/CVPR.2017.168 |
| 6 | https://github.com/gojibjib/jibjib-model |
| 7 | https://github.com/CSAILVision/places365 |
| 8 | Use What You Have: Video Retrieval Using Representations from Collaborative Experts, (http://arxiv.org/abs/1907.13487) |
| 9 | Neural Models for Information Retrieval (https://arxiv.org/pdf/1705.01509.pdf) |
| 10 | Learning a Video-Text Joint Embedding using Korean Tagged Movie Clips, ICTC 2020 |
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