Human action recognition techniques have gained significant attention among next-generation technologies due to their specific features and high capability inspect video sequences understand human actions. As a result, many fields benefited from techniques. Deep learning played primary role in approaches recognition. The new era of is spreading by transfer learning. Accordingly, this study's ma...

Data augmentation is a ubiquitous technique for improving image classification when labeled data scarce. Constraining the model predictions to be invariant diverse augmentations effectively injects desired representational invariances (e.g., invariance photometric variations) and helps improve accuracy. Compared data, appearance variations in videos are far more complex due additional temporal ...

To enable a safe and effective human-robot cooperation, it is crucial to develop models for the identification of human activities. Egocentric vision seems be viable solution solve this problem, therefore many works provide deep learning solutions infer actions from first person videos. However, although very promising, most these do not consider major challenges that comes with realistic deplo...

Pixel space augmentation has grown in popularity many Deep Learning areas, due to its effectiveness, simplicity, and low computational cost. Data for videos, however, still remains an under-explored research topic, as most works have been treating inputs stacks of static images rather than temporally linked series data. Recently, it shown that involving the time dimension when designing augment...

a fair hearing in the courts requires the principles of procedure. because the arbitration is considered as private judgment, thus in arbitration hearing regarding to non-ceremonial proceedings, arbitrator or arbitration panel are bound to respect the principles of civil procedure in arbitration hearing. equal treatment with parties of arbitration and adversarial procedure are principles that a...