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diff --git a/site/datasets/unknown/moments_in_time.json b/site/datasets/unknown/moments_in_time.json new file mode 100644 index 00000000..6f7d61a5 --- /dev/null +++ b/site/datasets/unknown/moments_in_time.json @@ -0,0 +1 @@ +{"id": "41976ebc8ab76d9a6861487c97cc7fcbe3b6015f", "citations": [{"id": "a640bc0faef2c0ee44074bfd17e813d9b538bd17", "title": "Recurrent Residual Module for Fast Inference in Videos", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578264"]}, {"id": "2098983dd521e78746b3b3fa35a22eb2fa630299", "title": "Second-order Temporal Pooling for Action Recognition", "year": "2018", "pdf": ["https://arxiv.org/pdf/1704.06925.pdf"], "doi": []}, {"id": "2a08147bf88041c6e0354e26762b4e4d65d5163f", "title": "Trimmed Event Recognition ( Moments in Time ) : Submission to ActivityNet Challenge 2018", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2a08/147bf88041c6e0354e26762b4e4d65d5163f.pdf"], "doi": []}, {"id": "1b71d3f30238cb6621021a95543cce3aab96a21b", "title": "Fine-grained Video Classification and Captioning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09235.pdf"], "doi": []}, {"id": "5eefe98aafffe665b19de515e3ba90c9c0b7219c", "title": "Trimmed Event Recognition Submission to ActivityNet Challenge 2018", "year": "", "pdf": ["https://pdfs.semanticscholar.org/5eef/e98aafffe665b19de515e3ba90c9c0b7219c.pdf"], "doi": []}, {"id": "620339aef06aed07a78f9ed1a057a25433faa58b", "title": "Human Action Recognition and Prediction: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.11230.pdf"], "doi": []}, {"id": "878f70f6abb83f5158ca0bacfc2bacd49b1886b1", "title": "Aligning Artificial Neural Networks to the Brain Yields Shallow Recurrent Architec- Tures", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/878f/70f6abb83f5158ca0bacfc2bacd49b1886b1.pdf"], "doi": []}, {"id": "72f4c415b5f3ecf63380b6985c95c5af2ba72632", "title": "Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.00241.pdf"], "doi": []}, {"id": "5a77877689e44e3ed48250f53e05b0d37bd901d7", "title": "Morph: Flexible Acceleration for 3D CNN-Based Video Understanding", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8574597"]}]}
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