Lightweight underwater target detection method based on feature fusion and neural network search

A technology of neural network and feature fusion, applied in the field of computer vision, to achieve the effect of promoting development

Pending Publication Date: 2021-12-31
DALIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The present invention aims to solve the shortcomings of the existing deep learning-based underwater target detection method, and provides an unde

Method used

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  • Lightweight underwater target detection method based on feature fusion and neural network search
  • Lightweight underwater target detection method based on feature fusion and neural network search
  • Lightweight underwater target detection method based on feature fusion and neural network search

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Embodiment Construction

[0033]The present invention searches and designs the underwater detection network based on the feature fusion operation and the gradient neural network search strategy. Under the premise of not introducing additional enhancement modules, loss functions or other tasks, the method proposed in this application can be used to design a fusion land The underwater detection network structure affected by the upper detection prior and the underwater quality factor, the search result example is as follows image 3 Shown, the specific implementation scheme of the present application is as follows:

[0034] The first step is to prepare the dataset. The pre-prepared datasets include pre-training datasets, land detection network training datasets and underwater detection network training datasets. The role of the pre-training data set is to pre-train the backbone of the land and underwater detection network, and obtain the pre-training weights to speed up the convergence process of the lat...

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Abstract

The invention discloses a lightweight underwater target detection method based on feature fusion and neural network search, and belongs to the field of computer vision. Land detection network features and underwater detection network features are fused, namely addition operation is carried out, so that the goal of guiding underwater network structure construction by using land priori knowledge is achieved. Meanwhile, a neural network search algorithm is utilized, an efficient search space is designed, a gradient-based microsearchable strategy is adopted, and an underwater super-network structure and a land mirror image detection structure are constructed to directly establish a relation among underwater decline quality factors, land prior information and a detection network structure.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a lightweight underwater target detection method based on feature fusion and neural network search. Background technique [0002] Underwater object detection has a wide range of applications in oceanography, underwater navigation, and fishery. The research aims to locate the target of interest in the underwater image / video, and accurately determine the specific category of each target and the location and size of its bounding box. Compared with land-based detection scenarios, there are various underwater degradation problems such as sediment occlusion, color distortion, uneven illumination, and target occlusion. Therefore, underwater detection faces even greater challenges. In addition, underwater detection is usually a mobile terminal operation, which has high requirements for algorithm complexity. However, the current detection algorithms are often based on large-scale network str...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241G06F18/253G06F18/214
Inventor 刘日升付陈平仲维樊鑫罗钟铉
Owner DALIAN UNIV OF TECH
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