Artificial Intelligence
Including Code & Result of the paper "Unsupervised Paraphrasing via Sentence Reconstruction and Back-translation"
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Our complex street scene(CSS) containing strong light and heavy shadow scenes mainly comes from the Kitti dataset. Our datasets are captured by driving around Karlsruhe's mid-size city, in rural areas, and on highways. We equipped a standard station wagon with two high-resolution color and grayscale video cameras. Up to 15 cars and 30 pedestrians are visible per image. We aim to verify the performance of the algorithm in specific and complex street scenes.
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We propose a driver pattern dataset consists of 51 features extracted from CAN (Controller Area Network) of Hyundai YF Sonata while four drivers drove city roads of Seoul, Republic of Korea. Under the belief that different driving patterns implicitly exist at CAN data, we collected CAN diagnosis data from four drivers in pursuit of research on driver identification, driver profiling, and abnormal driving behavior detection. Four drivers are named A, B, C, and D.
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Recently, the coronavirus pandemic has made the use of facial masks and respirators common, the former to reduce the likelihood of spreading saliva droplets and the latter as Personal Protective Equipment (PPE). As a result, this caused problems for the existing face detection algorithms. For this reason, and for the implementation of other more sophisticated systems, able to recognize the type of facial mask or respirator and to react given this information, we created the Facial Masks and Respirators Database (FMR-DB).
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Robotic Vision
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The CHU Surveillance Violence Dataset (CSVD) is a collection of CCTV footage of violent and non-violent actions aiming to characterize the composition of violent actions into more specific actions. We produced several simple action classes for violent and non-violent actions do add variety and better distribution among simple and complex action classes for RGB and Action Silhouette Videos (enhanced Optical Flow Images) with their localized actions.
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There are three datasets, which include the labeled grade by the XRF analyzer and its related visual features and feed grades.
It can be used for training and validation the performance monitoring model in the froth flotation.
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The dataset contains 2,400 vehicle images for license plate detection purposes. Images are taken from actively operating commercial cameras which are installed on a highway and in an entrance of a shopping mall. Images
contain generally one vehicle, but sometimes can contain two or more vehicles. For each image in pixel domain there exists two different images generated from encoded High Efficiency Video Coding (HEVC) stream using our method.
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E-learning is a type of learning by using electronic technologies to access an educational program outside of a traditional classroom. As conventional classrooms continue to be transformed into digital, teachers must deliver lectures through multiple learning modes. Digitally enriched content and personalized learning, should be the primary way of teaching, as well as collaborative and interactive learning.
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The dataset contains:
1. We conducted a A 24-hour recording of ADS-B signals at DAB on 1090 MHz with USRP B210 (8 MHz sample rate). In total, we got the signals from more than 130 aircraft.
2. An enhanced gr-adsb, in which each message's digital baseband (I/Q) signals and metadata (flight information) are recorded simultaneously. The output file path can be specified in the property panel of the ADS-B decoder submodule.
3. Our GnuRadio flow for signal reception.
4. Matlab code of the paper, wireless device identification using the zero-bias neural network.
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