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  1. 2521
    por Kim, Seong Hyun, Chang, Ju Yong
    Publicado 2020
    “…Although the performance of the 3D human shape reconstruction method has improved considerably in recent years, most methods focus on a single person, reconstruct a root-relative 3D shape, and rely on ground-truth information about the absolute depth to convert the reconstruction result to the camera coordinate system. …”
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    Single-Shot 3D Multi-Person Shape Reconstruction from a Single RGB Image
  2. 2522
    por Forghani, Majid, Khachay, Michael
    Publicado 2020
    “…The results indicate that the best-trained network gives a high-precision approximation for the ground-truth antigenic distances, and can be used as a good exploratory tool in practical tasks.…”
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    Convolutional Neural Network Based Approach to In Silico Non-Anticipating Prediction of Antigenic Distance for Influenza Virus
  3. 2523
    “…The algorithms are run on the color image data, while the ‘ground truth’ is semi-automatically extracted from the depth data. …”
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    Online Artículo Texto
    Testing dataset for head segmentation accuracy for the algorithms in the ‘BGSLibrary’ v3.0.0 developed by Andrews Sobral
  4. 2524
    “…A recurrent neural network is applied to predict real-time ship trajectories and is successively trained. Ground truth data from AIS raw data in the port of Zhangzhou, China were used to train and verify the validity of the proposed model. …”
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    A Ship Trajectory Prediction Framework Based on a Recurrent Neural Network
  5. 2525
    “…Second, we trained convolutional neural networks (CNNs), using 160,280 images labeled by either the ground-truth or human responses. No single chromatic statistics model was sufficient to describe human discrimination thresholds across conditions, while human-response-trained CNNs nearly perfectly predicted human thresholds. …”
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    Modeling surface color discrimination under different lighting environments using image chromatic statistics and convolutional neural networks
  6. 2526
    por Kim, Hong Ki, Kim, Minji, Lee, Sang Hyun
    Publicado 2020
    “…The iteration of the update rules leads to averaging out the measurement errors within the network, resulting in all vehicles’ localization error to retain similar magnitudes and orientations with respect to the ground truth locations. Furthermore, the estimate error of the anchor—the vehicle with the most reliable localization performance—is temporarily aggravated through the iteration. …”
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    Online Artículo Texto
    Vehicular Localization Enhancement via Consensus
  7. 2527
    “…Moreover, we examine the differences between the other large clusters and compare our measures with the ground truth.…”
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    Online Artículo Texto
    Pathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIs
  8. 2528
    “…The approach was primarily evaluated using the earth observation data set for land-cover classification from ESA’s Sentinel-2 mission, the digital elevation model and the ground truth data of the Land Parcel Identification System from Slovenia. …”
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    FASTENER Feature Selection for Inference from Earth Observation Data
  9. 2529
    “…Thus, the Root Mean Square Error (RMSE) was measured by comparing estimated 3D poses and truth data, resulting in a mean error of 0.065 m when walking action was applied.…”
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    3D Human Pose Estimation with a Catadioptric Sensor in Unconstrained Environments Using an Annealed Particle Filter
  10. 2530
    “…Access to large volumes of ground truth Mercosur license plates with sufficient presentation variety is a significant challenge for training supervised models for license plate detection (LPD) in automatic license plate recognition (ALPR) systems. …”
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    Artificial Mercosur license plates dataset
  11. 2531
    “…The experimental results show that the average fidelity of the reconstructed truth table reaches as high as 98.8 [Formula: see text] 0.3%. …”
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    Femtosecond Laser Direct Writing of Integrated Photonic Quantum Chips for Generating Path-Encoded Bell States
  12. 2532
    “…Furthermore, a ground truth was established from the manual segmentation performed by two independent researchers. …”
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    Segmentation Approaches for Diabetic Foot Disorders
  13. 2533
    “…The recorded behavioral and physiological responses were scored by expert nurses using two validated pain scales to obtain the ground truth labels. In addition to behavioral and physiological responses, our dataset contains clinical information such as the neonate’s age, gender, weight, pharmacological and non-pharmacological interventions, and previous painful procedures. …”
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    Online Artículo Texto
    Multimodal neonatal procedural and postoperative pain assessment dataset
  14. 2534
    “…To assess its performance, we apply WBNS to synthetic images and compare the results quantitatively with the ground truth and with images processed by other background removal algorithms. …”
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    Wavelet-based background and noise subtraction for fluorescence microscopy images
  15. 2535
    por Odry, Ákos
    Publicado 2021
    “…Moreover, the simultaneous acquisition of both the real pose states (ground truth) and raw sensor data is supported during these simulated system behaviors. …”
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    An Open-Source Test Environment for Effective Development of MARG-Based Algorithms
  16. 2536
    “…There are weaknesses in some of the edge detectors developed until now, such as disconnected edges, the impossibility to detect branching edges, or the need for a ground truth that is not always accessible. Therefore, a specialized detector that is optimized for the image particularities can help improve edge detection performance. …”
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    A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization
  17. 2537
    “…Our evaluation is based on a dataset with 180 km of vehicle trajectories recorded in highway, urban, and rural areas, accompanied by postprocessed Real-Time Kinematic GNSS as ground truth. We compare the architecture’s performance with (i) vehicle odometry and GNSS fusion and (ii) stereo visual odometry, vehicle odometry, and GNSS fusion; for offline and real-time optimization strategies. …”
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    Online Artículo Texto
    Real-Time Vehicle Positioning and Mapping Using Graph Optimization
  18. 2538
    “…All participants completed the four-item Centers for Disease Control Healthy Days Questionnaire at the time of enrollment and 30 days later to measure “ground truth” HRQOL. We used a combination of document frequency analysis, sentiment analysis, topic analysis, and concept mapping to extract features from tweets, which we then used to estimate dichotomized HRQOL (“high” vs. …”
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    Estimating the Health-Related Quality of Life of Twitter Users Using Semantic Processing
  19. 2539
    “…MaskUKF achieves and in most cases surpasses state-of-the-art performance on the YCB-Video pose estimation benchmark without the need for expensive ground truth pose annotations at training time. Closed loop control experiments on the iCub humanoid platform in simulation show that joint pose and velocity tracking helps achieving higher precision and reliability than with one-shot deep pose estimation networks. …”
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    MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking
  20. 2540
    “…Moreover, each data sample is associated with a ground truth label that describes the user activity and the situation in which she was involved during the sensing experiment (e.g., working, at restaurant, and doing sport activity). …”
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    ContextLabeler dataset: Physical and virtual sensors data collected from smartphone usage in-the-wild
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