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Object detection for crabs in top-view seabed imagery

arXiv 2105.02964 ↗First posted 2 May 2021cs.CV cs.LGcited by 0

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Abstract (arXiv)

This report presents the application of object detection on a database of underwater images of different species of crabs, as well as aerial images of sea lions and finally the Pascal VOC dataset. The model is an end-to-end object detection neural network based on a convolutional network base and a Long Short-Term Memory detector.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 10 references that are in the map. First posted on arXiv 2 May 2021.

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4 of 10 references.

References · 4

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  2. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  3. 2014Going Deeper with Convolutionscited by 4,241
  4. 2015End-to-end people detection in crowded scenescited by 140

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