International business machines corporation (20240212327). FINE-TUNING JOINT TEXT-IMAGE ENCODERS USING REPROGRAMMING simplified abstract

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FINE-TUNING JOINT TEXT-IMAGE ENCODERS USING REPROGRAMMING

Organization Name

international business machines corporation

Inventor(s)

Andrew Geng of Madison WI (US)

Pin-Yu Chen of White Plains NY (US)

FINE-TUNING JOINT TEXT-IMAGE ENCODERS USING REPROGRAMMING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240212327 titled 'FINE-TUNING JOINT TEXT-IMAGE ENCODERS USING REPROGRAMMING

Simplified Explanation

The patent application discusses techniques to fine-tune a joint text-image encoder through model reprogramming. This involves training an image encoder and a text encoder, receiving an image and a caption, generating reprogrammed versions of the image and caption, and further training the encoders using these reprogrammed inputs.

  • The patent application focuses on fine-tuning a joint text-image encoder through model reprogramming.
  • It involves training an image encoder and a text encoder.
  • Reprogrammed versions of the image and caption are generated using specific functions.
  • The encoders are further trained using these reprogrammed inputs.
  • Parameters for the reprogramming functions are backpropagated to enhance the encoder's performance via transfer learning.

Key Features and Innovation

  • Utilizes model reprogramming to fine-tune a joint text-image encoder.
  • Involves training an image encoder and a text encoder.
  • Generates reprogrammed versions of the image and caption using specific functions.
  • Enhances the encoder's performance through transfer learning by backpropagating parameters for the reprogramming functions.

Potential Applications

The technology can be applied in various fields such as:

  • Image recognition
  • Natural language processing
  • Multimedia content analysis

Problems Solved

  • Improves the performance of joint text-image encoders.
  • Enhances the accuracy of image and text processing tasks.
  • Facilitates better understanding and analysis of multimedia content.

Benefits

  • Increased accuracy in image and text processing tasks.
  • Enhanced performance of joint text-image encoders.
  • Improved understanding and analysis of multimedia content.

Commercial Applications

Title: Enhanced Multimedia Content Analysis Technology This technology can be utilized in:

  • Social media platforms for content analysis
  • E-commerce websites for product recommendations
  • Entertainment industry for content categorization and recommendation systems

Questions about the Technology

How does model reprogramming improve the performance of joint text-image encoders?

Model reprogramming allows for fine-tuning the encoder by generating reprogrammed versions of the image and caption, which are used to further train the encoders, leading to enhanced performance.

What are the potential applications of this technology beyond image and text processing?

This technology can be applied in various fields such as image recognition, natural language processing, and multimedia content analysis, expanding its potential applications beyond traditional image and text tasks.


Original Abstract Submitted

techniques to fine-tune a joint text-image encoder via model reprogramming. the joint text-image encoder includes an image encoder and a text encoder, which are trained. an image and a caption describing the image are received. a reprogrammed image is generated based on the received image and using a first function. a reprogrammed caption is generated based on the received caption and using a second function. the image encoder and the text encoder are further trained using the reprogrammed image and the reprogrammed caption. one or more parameters for each of the first and second functions are backpropagated to produce, via transfer learning, the fine-tuned joint text-image encoder.

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