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Testro/ANCHURUS

AI model by Testro

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ANCHURUS is an experimental deep learning model for monocular depth estimation, developed by Davitestro. The project explores computationally efficient depth prediction using a student-teacher learning approach. Its primary goal is to investigate lightweight neural network architectures capable of generating depth maps from single RGB images while keeping computational requirements relatively low. ANCHURUS uses a MobileNetV2 feature extraction backbone followed by a progressive decoder consisting of five upsampling blocks. The network produces a normalized depth representation from a single RGB image. ANCHURUS was developed using a student-teacher learning framework. MiDaS serves as the teacher model, providing depth-related supervision for the lightweight student architecture. The training implementation also includes an adaptive learning-rate strategy. The recommended checkpoint is: ANCHURUS v5 — Download The checkpoint contains the model state dictionary. Potential research and development applications include:…

Testro/ANCHURUS on Hugging Face A short preview, not the full document.

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  1. ANCHURUS
  2. Lightweight Monocular Depth Estimation
  3. Model Details
  4. Architecture
  5. Training Approach
  6. Model Weights
  7. Intended Applications
  8. Limitations
  9. Source Code
  10. Author
  11. License

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Testro/ANCHURUS is a task-unspecified model repository published by Testro on Hugging Face. A library was not reported.

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License
mit
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Created
2026-11-09T06:48:53.000Z
Last modified
2026-11-09T06:48:53.000Z

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