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configs
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depth_models_weights/VTDepthB0
depth_models_weights/VTDepthB0
 
 
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networks
 
 
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scripts
 
 
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test_image
test_image
 
 
transformer_networks
transformer_networks
 
 
README.md
README.md
 
 
evaluate_depth.py
evaluate_depth.py
 
 
export_gt_depth.py
export_gt_depth.py
 
 
kitti_utils.py
kitti_utils.py
 
 
layers.py
layers.py
 
 
options.py
options.py
 
 
requirements.txt
requirements.txt
 
 
test_simple.py
test_simple.py
 
 
train.py
train.py
 
 
trainer_general.py
trainer_general.py
 
 
utils_monodepth.py
utils_monodepth.py
 
 

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Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation

Here will be a PyTorch implementation implementation of "Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation", published in ISMAR 2022.

All the source code and pretrained weights are to be released before ISMAR 2022 conference.

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