Data enhancement learning and training method, electronic equipment and readable storage medium

A technology for enhancing learning and training methods, applied in the field of video processing, it can solve the problems that cannot be integrated into unsupervised or semi-supervised learning, and cannot be applied in the video field, so as to achieve the effect of low computational cost and avoidance of demand.
CN112016683APending Publication Date: 2020-12-01NEXWISE INTELLIGENCE CHINA LTD
0 Cites 2 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
NEXWISE INTELLIGENCE CHINA LTD
Publication Date
2020-12-01

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The embodiment of the invention provides a data enhancement learning and training method, electronic equipment and a readable storage medium. The method comprises the following steps: mixing a staticimage into each frame of a sample video according to a scale factor; according to the embodiment of the invention, a data enhancement method TCA is utilized to guide the learning target of the whole neural network; the TCA can be simply integrated in any neural network, specifically, a static image is mixed into each frame of a sample video according to a scale factor, and the similarity of time clues under different space contexts can be reserved by selecting a proper scale factor. In addition, the TCA can be realized through simple matrix operation, the calculation overhead is very low, themethod provided by the embodiment of the invention achieves the optimal effect on three data sets, the effectiveness of the data enhancement method is verified, the TCA avoids the requirement on a real label, and the method can be expanded to self-supervised and semi-supervised learning.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of video processing, in particular to a data reinforcement learning, a training method, an electronic device, and a readable storage medium. Background technique

[0002] Data Augmentation is a very common technique in deep learning. In image classification, the input image is usually elastically deformed or noise is added, which can greatly change the pixel content of the image without changing the label. Based on this, many enhancement techniques for rotation are proposed, such as flipping and color dithering. Data augmentation can improve the diversity of samples and greatly improve the robustness of the model.

[0003] The existing MixUp is a practical image classification data enhancement method, and its effectiveness has been verified in the image-based field. For the samples in the data set, in the training process, all samples are first divided into different batches and randomly Sample one of the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More