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 |
前往AI网址导航
收录说明：
1、本网页并非 Intel/dpt-hybrid-midas 官网网址页面，此页面内容编录于互联网，只作展示之用；2、如果有与 Intel/dpt-hybrid-midas 相关业务事宜，请访问其网站并获取联系方式；3、本站与 Intel/dpt-hybrid-midas 无任何关系，对于 Intel/dpt-hybrid-midas 网站中的信息，请用户谨慎辨识其真伪。4、本站收录 Intel/dpt-hybrid-midas 时，此站内容访问正常，如遇跳转非法网站，有可能此网站被非法入侵或者已更换新网址，导致旧网址被非法使用,5、如果你是网站站长或者负责人，不想被收录请邮件删除：i-hu#Foxmail.com （#换@）
