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Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking

124
Citations
January 1, 2025
Published Date

Research Abstract & Technology Focus

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crossref.org › academic paper
26%

Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking

No description provided.

openalex.org › research concept
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Smart Underwater Monitoring Through Image Enhancement and Object Detection using AI

Abstract - This literature survey examines the rapid advancement of Artificial Intelligence (AI) techniques for underwater image enhancement and object detection. It covers a wide range of approach...

openalex.org › research concept
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Smart Underwater Monitoring Through Image Enhancement and Object Detection using AI

Abstract - This literature survey examines the rapid advancement of Artificial Intelligence (AI) techniques for underwater image enhancement and object detection. It covers a wide range of approach...

openalex.org › research concept
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Deep learning-based detection of submerged debris and plastics in underwater environments: a systematic review

Purpose To synthesize and critically appraise deep learning approaches for detecting submerged plastics and marine debris, with a focus on architectures, image enhancement and deployment on resourc...

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Underwater Image Enhancement Using Deep Learning: A Multi-Stage Processing Approach

Capturing images beneath the water surface is fundamentally different from photography in air. Water selectively absorbs different wavelengths of light, scatters photons through suspended particles...

Frequently Asked Questions (FAQ)

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What is the core focus of the research titled 'Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking'?

This literature focuses on:

Are there open-source GitHub repositories related to Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking?

Yes, open-source projects like fikrikarim/parlor (On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E...) are actively building upon these concepts.

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Products like Zzzappy are bringing this to market. Their focus is: Science-backed breaks to protect your vision & prevent RSI.

What other academic literature is closely related to 'Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking'?

Yes, highly correlated activity was mapped. An entry titled 'Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking' discusses this: No description provided.

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Commercial Realization

Startups and Open Source tools heavily associated with the concepts explored in this paper.

  • GitHub
    fikrikarim/parlor
    On-device, real-time multimodal AI. Have natural voice and vision c...
  • GitHub
    jmerelnyc/Photo-agents
    Autonomous self-evolving agents. Vision-grounded layered memory and...
  • Product Hunt
    Zzzappy
    Science-backed breaks to protect your vision & prevent RSI
  • Product Hunt
    GLM-5V-Turbo
    Vision-to-code foundation model for real GUI automation

Associated Media Narrative