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Diffstat (limited to 'site/datasets/unknown/caltech_crp.json')
| -rw-r--r-- | site/datasets/unknown/caltech_crp.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/unknown/caltech_crp.json b/site/datasets/unknown/caltech_crp.json index 431ef37b..5b615685 100644 --- a/site/datasets/unknown/caltech_crp.json +++ b/site/datasets/unknown/caltech_crp.json @@ -1 +1 @@ -{"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "citations": [{"id": "7268747251a61d1ce3285baade15c372d4c566d6", "title": "Person Attribute Recognition with a Jointly-Trained Holistic CNN Model", "year": "2015", "pdf": ["http://web-info8.informatik.rwth-aachen.de/media/papers/sudowe_spitzer_leibe_ICCV_LaP_2015.pdf", "http://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Sudowe_Person_Attribute_Recognition_ICCV_2015_paper.pdf"]}, {"id": "28cd46a078e8fad370b1aba34762a874374513a5", "title": "cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06436.pdf"]}, {"id": "72a155c987816ae81c858fddbd6beab656d86220", "title": "The EuroCity Persons Dataset: A Novel Benchmark for Object Detection", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.07193.pdf"]}, {"id": "2f7e9b45255c9029d2ae97bbb004d6072e70fa79", "title": "cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.08247.pdf"]}, {"id": "83c00537e0c3e226d999a5abf02464e138867e96", "title": "Pedestrians and their phones - detecting phone-based activities of pedestrians for autonomous vehicles", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/eshed/papers/pedsphones.pdf", "http://cvrr.ucsd.edu/publications/2016/0539.pdf"]}, {"id": "6120b82d4fea996404a9cd429c6724ccaaaea6e4", "title": "Fine-Grained Butterfly Recognition with Deep Residual Networks: A New Baseline and Benchmark", "year": "2017", "pdf": []}, {"id": "7ec9a18671aacdbc138d082da0572e62806ce8d9", "title": "Visualizing the lesson process in active learning classes", "year": "2016", "pdf": []}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"]}, {"id": "5f9253997ce7ad510989e58c5c2b98e5af017fb0", "title": "Add-On Strategies for Fine-Grained Pedestrian Classification", "year": "2016", "pdf": []}, {"id": "cfd4004054399f3a5f536df71f9b9987f060f434", "title": "Person Recognition in Social Media Photos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1710.03224.pdf"]}, {"id": "129eb5f1bf5f49e973f8bec8d4e8389f5197054e", "title": "Lean Crowdsourcing: Combining Humans and Machines in an Online System", "year": "2017", "pdf": []}]}
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\ No newline at end of file |