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authoradamhrv <adam@ahprojects.com>2019-05-30 17:39:19 +0200
committeradamhrv <adam@ahprojects.com>2019-05-30 17:39:19 +0200
commitc2f320f4e3929d062b513479813173675c087fdb (patch)
treee74c697b5e7f9068c9c8e6257537f474e363606f /site/content/pages/datasets
parentdfaa5b28c6874bc70715c94aa9918f1b08a92b9c (diff)
update brainwash
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-rw-r--r--site/content/pages/datasets/brainwash/index.md13
1 files changed, 12 insertions, 1 deletions
diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
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--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -25,7 +25,7 @@ The Brainwash dataset is unique because it uses images from a publicly available
Although Brainwash appears to be a less popular dataset, it was notably used in 2016 and 2017 by researchers affiliated with the National University of Defense Technology in China for two [research](https://www.semanticscholar.org/paper/Localized-region-context-and-object-feature-fusion-Li-Dou/b02d31c640b0a31fb18c4f170d841d8e21ffb66c) [projects](https://www.semanticscholar.org/paper/A-Replacement-Algorithm-of-Non-Maximum-Suppression-Zhao-Wang/591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b) on advancing the capabilities of object detection to more accurately isolate the target region in an image. [^localized_region_context] [^replacement_algorithm] The [National University of Defense Technology](https://en.wikipedia.org/wiki/National_University_of_Defense_Technology) is controlled by China's top military body, the Central Military Commission.
-The dataset also appears in a 2017 [research paper](https://ieeexplore.ieee.org/document/7877809) from Peking University for the purpose of improving surveillance capabilities for "people detection in the crowded scenes".
+The Brainwash dataset also appears in a 2018 research paper affiliated with Megvii (Face++) that used images from Brainwash Cafe "to validate the generalization ability of [their] CrowdHuman dataset for head detection."[^crowdhuman]. Megvii is the parent company of Face++, who has provided surveillance technology to [monitor Uighur Muslims](https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html) in Xinjiang and may be [blacklisted](https://www.bloomberg.com/news/articles/2019-05-22/trump-weighs-blacklisting-two-chinese-surveillance-companies) in the United States.
![caption: An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The dataset contains a total of 11,917 images and 81,973 annotated heads. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)](assets/brainwash_example.jpg)
@@ -47,3 +47,14 @@ The dataset also appears in a 2017 [research paper](https://ieeexplore.ieee.org/
[^end_to_end]: Stewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016.
[^localized_region_context]: Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598.
[^replacement_algorithm]: Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.
+[^crowdhuman]: Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, and Jian Sun. CrowdHuman: Benchmark for Detecting Human in a Crowd. 2018. http://arxiv.org/abs/1805.00123
+ journal = {CoRR},
+ volume = {abs/1805.00123},
+ year = {2018},
+ url = {},
+ archivePrefix = {arXiv},
+ eprint = {1805.00123},
+ timestamp = {Thu, 14 Mar 2019 14:56:07 +0100},
+ biburl = {https://dblp.org/rec/bib/journals/corr/abs-1805-00123},
+ bibsource = {dblp computer science bibliography, https://dblp.org}
+} \ No newline at end of file