Masked Visual Pre-training for Motor Control

Masked Visual Pre-training for Motor Control

This is a PyTorch implementation of the paper Masked Visual Pre-training for Motor Control. It contains the benchmark suite, pre-trained models, and the training code to reproduce the results from the paper.

Installation

Please see INSTALL.md for installation instructions.

Pre-trained visual enocoders

We provide pre-trained visual encoders used in the paper. The models are in the same format as mae and timm:

backbone objective data md5 download
ViT-S MAE in-the-wild model
ViT-S MAE ImageNet model
ViT-S Supervised ImageNet model

By default,

 

 

 

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