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The Need and Status of Sea Turtle Conservation and Survey of Associated Computer Vision Advances

arXiv 2107.14061 ↗First posted 29 Jul 2021cs.CV cs.AI cs.LGcited by 0

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Abstract (arXiv)

For over hundreds of millions of years, sea turtles and their ancestors have swum in the vast expanses of the ocean. They have undergone a number of evolutionary changes, leading to speciation and sub-speciation. However, in the past few decades, some of the most notable forces driving the genetic variance and population decline have been global warming and anthropogenic impact ranging from large-scale poaching, collecting turtle eggs for food, besides dumping trash including plastic waste into the ocean. This leads to severe detrimental effects in the sea turtle population, driving them to extinction. This research focusses on the forces causing the decline in sea turtle population, the necessity for the global conservation efforts along with its successes and failures, followed by an in-depth analysis of the modern advances in detection and recognition of sea turtles, involving Machine Learning and Computer Vision systems, aiding the conservation efforts.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 126 references that are in the map. First posted on arXiv 29 Jul 2021.

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4 of 126 references.

References · 4

  1. 2017Wildbook: Crowdsourcing, computer vision, and data science for conservationcited by 20
  2. 2020A Tiny CNN Architecture for Medical Face Mask Detection for Resource-Constrained Endpointscited by 10
  3. 2020Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprintcited by 6
  4. 2021Advances in Classifying the Stages of Diabetic Retinopathy Using Convolutional Neural Networks in Low Memory Edge Devicescited by 2

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