Face Manipulation Detection Based on Supervised Multi-Feature Fusion Attention Network

Nowadays, faces in videos can be easily replaced with the development of deep learning, and these manipulated videos are realistic and cannot be distinguished by human eyes. Some people maliciously use the technology to attack others, especially celebrities and politicians, causing destructive social impacts. Therefore, it is imperative to design an accurate method for detecting face manipulation. However, most of the existing methods adopt single convolutional neural network as the feature extraction module, causing the extracted features to be inconsistent with the human visual mechanism. Moreover, the rich details and semantic information cannot be reflected with single feature, limiting the detection performance. Therefore, this paper tackles the above problems by proposing a novel face manipulation detection method based on a supervised multi-feature fusion attention network (SMFAN). Specifically, the capsule network is used for face manipulation detection, and the SMFAN is added to the original capsule network to extract details of the fake face image. Further, the focal loss is used to realize hard example mining. Finally, the experimental results on the public dataset FaceForensics++ show that the proposed method has better performance.

Visual Mechanism Characteristics of Static Painting Based on PSO-BP Neural Network

Static painting works have independent theme significance in the framework of Chinese painting history, and their overall structure, lightness structure, and color structure all show different characteristics of visual mechanism. In order to extract the visual mechanism features effectively, this experiment uses the PSO algorithm to optimize the BP neural network, constructs the PSO-BP neural network for feature recognition and extraction, and compares it with the training results of other algorithms. The results show that the prediction accuracy, recognition accuracy, and ROC curve of PSO-BP neural network are high, which shows that the convergence of PSO-BP neural network is good, and it can effectively complete the recognition and analysis of people and effectively extract the visual mechanism features of static writing paintings.

Early visual processing relevant to the reduction of adaptation-induced perceptual bias

Visual perception is biased by the preceding visual environment. A well-known perceptual bias is the negative bias where a current percept is biased away from the preceding image (adaptor). The preceding adaptor induces augmentation of early visual evoked potential (the P1 enhancement) of the following test image; the adaptor may invoke certain visual processing for the subsequent test image. However, the visual mechanism underlying P1 enhancement remains unclear. The present study assessed what the P1 alteration reflects in relation to the occurrence of the negative bias. In terms of inter-individual differences, we report that the P1 enhancement of the Necker lattice significantly correlated with the reduction of the reverse-bias effect. Further analyses revealed that the P1 enhancement was insusceptible to neural adaptation to the adaptor at the level of perceptual configuration. The present study suggests that prolonged exposure to a visual image induces modulatory visual processing for the subsequent image (reflected in the P1 enhancement), which is relevant to counteraction of the negative bias.

Biophysics Of Brain Activity. Brain Activity In The Development Of "Creative Thinking" "Mind Map"

The article provides information about the human brain, including its energy consumption, the functional functions of its parts, the biophysics of the sensory channels of the visual mechanism. The channels of movement of information through the neural fibers of the brain, the description of "unusual" ideas that lead to new and "creative thinking", the importance of the method of "comparative learning" in the development of "imagination" and "creative thinking" were discussed. The “specialty-related” mind map of the cerebral hemispheres serves to visualize and develop the activity of the right hemisphere of the brain, which is responsible for “creative thinking”. To activate the right hemisphere of the brain, it is recommended to use emotional "mind map", Uzbek folk tales, folk sports, folklore. The "mind map" of the sensory channels encourages feedback on the functioning of the human sensory organs, the mechanism of information reception, and opportunities to increase the efficiency of this process. It serves to visualize the mechanism by which ‘imagination’ is formed.