Human motion prediction task. Top: the conditioning sequence and the groundtruth of the predicted sequence. Middle two: state-of-the-art prediction results (sampling-based loss and residual sup. [31]). Bottom:
As our method is based on the importance sampling theory, the new distributions are also denoted as importance functions. To solve the challenge of high dimensionality, we only twist the behavior distributions of the principal other vehicle (POV) at critical moments, while others keep following ...
To refine the dataset, a systematic sampling technique was applied, resulting in 82 relevant articles for further analysis (see PRISMA flow diagram, Fig. 2, for details). The process comprises four phases: identification, screening, eligibility, and inclusion. To save space, the screening, ...
Notably, the image resolution is denoted as 1,936 × 1,216, following which, in consonance with the methodology delineated in [16], input images undergo a downsampling procedure to achieve a resolution of 640 × 384. Subsequently, during the evaluation phase, image reso- lution is restored ...
WGAN-based synthetic minority over-sampling technique: Improving semantic fine-grained classification for lung nodules in CT images. IEEE Access 7, 18450–18463 (2019). Article Google Scholar Alnujaim, I. & Kim, Y. Augmentation of Doppler radar data using generative adversarial network for human...
Generative adversarial minority oversampling Proceedings of the IEEE/CVF International Conference on Computer Vision (2019), pp. 1695-1704 CrossrefView in ScopusGoogle Scholar Munawar et al., 2020 Munawar F., Azmat S., Iqbal T., Grönlund C., Ali H. Segmentation of lungs in chest X-ray ...
我们看到J(G)的导数非常接近于我们的目标;唯一的问题就是期望是由从pg中采样计算出来的,而我们想要的其实是由pdata中采样来计算。我们可以通过 importance sampling 方法来解决;通过设置f(x) =pdata(x)/pg(x) 来重置从每个生成器样本到补偿它是从生成器而非原数据中采样对梯度的贡献。
[11] also use importance sampling theory to generate critical interactions between different vehicles, accelerating intelligent driving tests, and establishing a piecewise mixed distribution model to simulate the maneuvers of leading vehicles. Knowledge-based generation methods use predefined rules or explicit...
[11] also use importance sampling theory to generate critical interactions between different vehicles, accelerating intelligent driving tests, and establishing a piecewise mixed distribution model to simulate the maneuvers of leading vehicles. Knowledge-based generation methods use predefined rules or explicit...
In the further work of COLMAP [39], a geometric verification and a sampling-based triangulation are adopted to improve the robustness and completeness of reconstruction. Moreover, the global optimization is only then performed when the model grows to a certain extent, greatly reducing the load of...