Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection

Delving Deeper into Convolutional Networks for Learning Video Representations

We propose an approach to learn spatio-temporal features in videos from intermediate visual representations we call “percepts” using Gated-Recurrent-Unit Recurrent Networks (GRUs). Our method relies on percepts that are extracted from all levels of a deep convolutional network trained on the large ImageNet dataset. While high-level percepts contain highly discriminative information, they tend t...

Delving Deeper into Convolution Networks for Learning Video Representation

Video analysis and understanding represents a major challenge for computer vision and machine learning research. While previous work has traditionally relied on hand-crafted and task-specific representations, there is a growing interest in designing general video representations that could help solve tasks in video understanding such as human action recognition, video retrieval or video caption...

Cascade R-CNN: Delving into High Quality Object Detection

In object detection, an intersection over union (IoU) threshold is required to define positives and negatives. An object detector, trained with low IoU threshold, e.g. 0.5, usually produces noisy detections. However, detection performance tends to degrade with increasing the IoU thresholds. Two main factors are responsible for this: 1) overfitting during training, due to exponentially vanishing...

Delving into BioMEMS.

the effects of integrating cooperative learning into vocabulary learning of elementary school students

the purpose of the research is to examine if integrating cooperative learning into vocabulary learning helps to increase word recognition of students in an elementary school in iran. it tries to investigate whether cooperative learning approach enables students to improve their language learning. this research used stad (students team achievement division) as a cooperative model in this study. ...