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PlantTracing: Tracing Arabidopsis Thaliana Apex with CenterTrack

arXiv 2405.11351 ↗First posted 18 May 2024cs.CVcited by 0

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Abstract (arXiv)

This work applies an encoder-decoder-based machine learning network to detect and track the motion and growth of the flowering stem apex of Arabidopsis Thaliana. Based on the CenterTrack, a machine learning back-end network, we trained a model based on ten time-lapsed labeled videos and tested against three videos.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 7 references that are in the map. First posted on arXiv 18 May 2024.

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References · 5

  1. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,057
  2. 2017Deformable Convolutional Networkscited by 1,488
  3. 2019Objects as Pointscited by 1,175
  4. 2020Tracking Objects as Pointscited by 483
  5. 2017Deep Layer Aggregationcited by 436

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