7. 6
オープンサイエンスとオープンデータ
ImageNet: http://www.image-net.org/
1,400万枚を超える画像,物体名(クラス名)は2万種類以上
14,197,122 images, 21841 synsets indexed
画像に写っている物体名(クラス名)を付与
http://starpentagon.net/analytics/imagenet_ilsvrc2012_dataset/
Berkeley DeepDrive BDD100k: http://bdd-data.berkeley.edu/
Currently the largest dataset for self-driving AI. Contains over 100,000 videos of over 1,100-hour
driving experiences across different times of the day and weather conditions. The annotated images
come from New York and San Francisco areas.
訓練済みモデルの公開と集合知による改良
https://modelzoo.co/
8. 7
Content-Based Image Retrieval using Deep Learning
CLS: Classification Error
LOC: Localization Error
AlexNet ResNet GoogLeNet
認識率の向上
ImageNet Large Scale Visual Recognition Competition
24. 23
実行環境・状況の複雑さ、不確かさ
Czarnecki, K., & Salay, R. (2018). Towards a Framework to Manage Perceptual Uncertainty for Safe
Automated Driving. International Conference on Computer Safety, Reliability, and Security, 439–445.
23
31. 30
研究分野の動向
新しく立ち上がった国際会議
The AAAI's Workshop on Artificial Intelligence Safety, 2019-: https://safeai.webs.upv.es/
International Workshop on Artificial Intelligence Safety Engineering (WAISE) @
SAFECOMP, 2018-: https://www.waise.org/
AISafety @IJCAI, 2019-: https://www.aisafetyw.org/
2020 USENIX Conference on Operational Machine Learning:
https://www.usenix.org/conference/opml20
The Conference on Systems and Machine Learning (SysML): https://mlsys.org/
International Workshop on Machine Learning Systems Engineering (iMLSE)@APSEC, 2018-
Safe AIに関するセンター
Center for AI Safety (Stanford University, USA): http://aisafety.stanford.edu/
PRECISE Center of Safe AI (University of Pennsylvania, USA):
https://precise.seas.upenn.edu/safe-autonomy
コミュニティ
The Software Engineering for Machine Learning Applications (Polytechnique Montreal,
Canada) https://semla.polymtl.ca/organizers/