Answers.Body: <p>If you are looking for lightweights architecture, take a look at backbones designed for mobile such as <a href="https://arxiv.org/pdf/1905.02244.pdf" rel="nofollow noreferrer">MobileNet V3</a> or <a href="https://arxiv.org/pdf/2211.12905.pdf" rel="nofollow noreferrer">GhostNet V2</a> .</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-09-26T11:54:25.430Z
Answers.Text: also maybe EfficientNet
Answers.UserDisplayName: Alberto
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-09-26T13:19:07.577Z
Answers.Text: and also [ShuffleNet-V2](https://openaccess.thecvf.com/content_ECCV_2018/papers/Ningning_Light-weight_CNN_Architecture_ECCV_2018_paper.pdf)
Answers.UserDisplayName: Luca Anzalone
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-09-26T08:17:35.267Z
Answers.LastActivityDate: 2023-09-26T08:17:35.267Z
Answers.UserDisplayName: Lelouch
Body: <p>I am using a VGG16 model with the classification layer stripped off to generate vectors for an intermediate stage of an image fingerprinting algorithm.  It works well, but VGG16 is a little hefty, and I was wondering what suggestions the community had regarding good alternatives to VGG16, with regards to this application, if someone is looking for something lighter weight.</p>
  
Tags: <convolutional-neural-networks><computer-vision><image-recognition><vgg><template-matching>
Title: What is the best lightweight alternative to VGG16 for image fingerprinting?
UserDisplayName: Jeremiah
ThreadText: # What is the best lightweight alternative to VGG16 for image fingerprinting?
  
  (Asked by: username_0 on 2023-09-25)
  
  I am using a VGG16 model with the classification layer stripped off to generate vectors for an intermediate stage of an image fingerprinting algorithm. It works well, but VGG16 is a little hefty, and I was wondering what suggestions the community had regarding good alternatives to VGG16, with regards to this application, if someone is looking for something lighter weight.
  
  **Tags:** convolutional-neural-networks, computer-vision, image-recognition, vgg, template-matching
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2023-09-26. Score: 1 | Accepted answer
  
  If you are looking for lightweights architecture, take a look at backbones designed for mobile such as [MobileNet V3](https://arxiv.org/pdf/1905.02244.pdf) or [GhostNet V2](https://arxiv.org/pdf/2211.12905.pdf) .
  
  > **Comments:**
  > **username_2**: also maybe EfficientNet  
  > **username_3**: and also [ShuffleNet-V2](https://openaccess.thecvf.com/content_ECCV_2018/papers/Ningning_Light-weight_CNN_Architecture_ECCV_2018_paper.pdf)  
  
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