Model Details: DPT-Hybrid
Dense Prediction Transformer (DPT) model trained on 1.4 million images for monocular depth estimation.
It was introduced in the paper Vision Transformers for Dense Prediction by Ranftl et al. (2021) and first released in this repository.
DPT uses the Vision Transformer (ViT) as backbone and adds a neck + head on top for monocular depth estimation.
This repository hosts the “hybrid” version of the model as stated in the paper. DPT-Hybrid diverges from DPT by using ViT-hybrid as a backbone and taking some activations from the backbone.
The model card has been written in combination by the Hugging Face team and Intel.
| Model Detail | Description |
|---|---|
| Model Authors – Company | Intel |
| Date | December 22, 2022 |
| Version | 1 |
| Type | Computer Vision – Monocular Depth Estimation |
| Paper or Other Resources | Vision Transformers for Dense Prediction and GitHub Repo |
| License | Apache 2.0 |
| Questions or Comments | Community Tab and Intel Developers Discord |
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