Through comparisons with various scene graph generation methods and benchmarks across two other datasets, we have showcased the superiority of the IndVisSGG method and underscored the benefits of the ISG dataset over existing datasets.Zuoxu Wang...
This suggests that adapting the general object detector to the challenging domain of the proposed dataset is key to performance. Indeed, training the object detector to detect only active objects in the scene already allows to obtain reasonable results, while there is still space for improvement. ...
AutoMine [58] is one of the datasets used for positioning and perception tasks on the mining scene. SurMine [59] is another dataset of surface mine, which contains 7165 training images and 3500 testing images, covering a total of 9 classes. (3) Quantitative metrics: Define quantitative ...
The performances of the model are evaluated on the Secure Water Treatment (SWaT) dataset and the Water Distribution (WADI) dataset, the two most common industrial control systems datasets in the field of industrial anomaly detection. The experimental results show that our CAGCN achieves better ...
The performance of this localization service is evaluated on a manually annotated dataset. It includes 24 frames captured using Ensenso N30 in real scenes, where the number of detectable pieces varies from 27 to 61.Table 3shows the quantitative evaluation of the LCCPLocalization service, where the...
The CRA of skip connection structure model reached −13 and −95 for dataset A and dataset B, respectively. This was an improvement of 4 and 48 compared with the plain CNN structure model for the two datasets, respectively. As we discuss above, dataset A is simpler compared with B, ...
To generate the Cambridge Landmarks dataset, Kendall et al. [5] first captured high definition videos from around each scene using a smartphone and then proceeded to extract ground-truth camera poses using Structure from Motion (SfM) techniques [32]. Alternatively, Wohlhart et al. [20] first...
Comparison of different features extraction methods using an image obtained from the Oxford dataset [80]:aFAST,bHARRIS,cORB,dSIFT,eSURF. The size of the circle corresponds to the scale and thelinecorresponds to the orientation (direction of major change in intensity). Note that FAST and HARRIS...
It encompasses ten label categories, namely: address, book, company, game, government, movie, name, organization, position, and scene. The distribution of entity categories in the CLUENER 2020 dataset is shown in Table 1. In the experiment, within the CLUENER 2020 dataset, certain named ...
It encompasses ten label categories, namely: address, book, company, game, government, movie, name, organization, position, and scene. The distribution of entity categories in the CLUENER 2020 dataset is shown in Table 1. In the experiment, within the CLUENER 2020 dataset, certain named ...