GitHub - ahbpp/VTDepth

Notifications You must be signed in to change notification settings
Fork 0
Star 3

Folders and files

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
configs		configs
datasets		datasets
depth_models_weights/VTDepthB0		depth_models_weights/VTDepthB0
networks		networks
scripts		scripts
splits		splits
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

Repository files navigation

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.

About

No description, website, or topics provided.

Releases

No releases published

Navigation Menu

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Folders and files

Latest commit

History

Repository files navigation

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

About

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages