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Pretrained ADAM v2 weights [D]

Reddit r/MachineLearning / 3/27/2026

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Key Points

  • A master’s student on Reddit is asking the community for publicly available pretrained ADAM v2 (Autodidactic Dense Anatomical Model v2) ConvNeXt-B weights to use as a feature extractor for anatomy-aware unsupervised anomaly detection in chest X-rays.
  • The weights are associated with a specific CVPR 2024 paper by Taher et al. on learning anatomical part-whole hierarchies via self supervision.
  • The requester has already contacted the paper’s authors without a response and is looking for repositories or prior users who have successfully obtained or used the weights.
  • The post aims to identify practical paths (e.g., overlooked public repos) to accelerate downstream model development and experimentation.

Hi everyone,

I'm a master's student working on anatomy-aware unsupervised anomaly detection in chest X-rays. My thesis uses ADAM v2 (Autodidactic Dense Anatomical Model v2) from the paper

"Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability and Decomposability from Anatomy via Self Supervision" by Taher et al., CVPR 2024.

I need the pretrained ConvNeXt-B weights from this model to use as a feature extractor for my downstream anomaly detection task. I've already contacted the authors directly but haven't heard back yet.

Has anyone successfully obtained or used these weights? Is there a public repository I may have missed?

Any help is appreciated. Thanks!

submitted by /u/Typical-Owl1014
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