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Diffstat (limited to 'site/datasets/unknown/wider_attribute.json')
| -rw-r--r-- | site/datasets/unknown/wider_attribute.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/unknown/wider_attribute.json b/site/datasets/unknown/wider_attribute.json index 4b13a8d6..5aea4518 100644 --- a/site/datasets/unknown/wider_attribute.json +++ b/site/datasets/unknown/wider_attribute.json @@ -1 +1 @@ -{"id": "44d23df380af207f5ac5b41459c722c87283e1eb", "citations": [{"id": "49d1935740a3333b7f0f4b929680554e2417cb2c", "title": "Attend and Interact: Higher-Order Object Interactions for Video Understanding", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578808"]}, {"id": "81d327ec41c67728b15438bca86d10b72de1d88f", "title": "Visual Affordance and Function Understanding: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06775.pdf"], "doi": []}, {"id": "60189e2b592056d43a28b6ffa491867f793ebe1e", "title": "Ba\u011flam\u0131n Hiyerar\u015fik Do\u011fas\u0131", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6018/9e2b592056d43a28b6ffa491867f793ebe1e.pdf"], "doi": []}, {"id": "8031dd2c6583d8681fdd85bdae4371c7c745713f", "title": "Generative adversarial models for people attribute recognition in surveillance", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.02240.pdf"], "doi": []}, {"id": "bf665daa2efc8ea41fd4b254921dac6cee11ffa6", "title": "Attribute Recognition by Joint Recurrent Learning of Context and Correlation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237327"]}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "44d23df380af207f5ac5b41459c722c87283e1eb", "citations": [{"id": "49d1935740a3333b7f0f4b929680554e2417cb2c", "title": "Attend and Interact: Higher-Order Object Interactions for Video Understanding", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578808"]}, {"id": "81d327ec41c67728b15438bca86d10b72de1d88f", "title": "Visual Affordance and Function Understanding: A Survey", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.06775.pdf"], "doi": []}, {"id": "60189e2b592056d43a28b6ffa491867f793ebe1e", "title": "Ba\u011flam\u0131n Hiyerar\u015fik Do\u011fas\u0131", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6018/9e2b592056d43a28b6ffa491867f793ebe1e.pdf"], "doi": []}, {"id": "bf665daa2efc8ea41fd4b254921dac6cee11ffa6", "title": "Attribute Recognition by Joint Recurrent Learning of Context and Correlation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237327"]}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}]}
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