unsupervised_disparity_map_segmentation
Road Damage Detection Based on Unsupervised Disparity Map Segmentation (T-ITS) (by ruirangerfan)
SNE-RoadSeg
SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020 (by hlwang1124)
| unsupervised_disparity_map_segmentation | SNE-RoadSeg | |
|---|---|---|
| 2 | 1 | |
| 13 | 290 | |
| - | - | |
| 3.9 | 1.8 | |
| over 3 years ago | almost 3 years ago | |
| MATLAB | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
unsupervised_disparity_map_segmentation
Posts with mentions or reviews of unsupervised_disparity_map_segmentation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-29.
-
Computer Vision for Driving Scene Understanding: from Autonomous Driving to Road Condition Assessment - Link to a free online lecture by the author in comments
Road Damage Detection Based on Unsupervised Disparity Map Segmentation (T-ITS) - https://www.ruirangerfan.com/pdf/tits2019_fan.pdf
-
[R] Computer Vision for Driving Scene Understanding: from Autonomous Driving to Road Condition Assessment - Link to a free online lecture by the author in comments
gits: https://github.com/ruirangerfan/road_surface_3d_reconstruction_datasets https://github.com/ruirangerfan/unsupervised_disparity_map_segmentation https://github.com/ruirangerfan/rethinking_road_reconstruction_pothole_detection
SNE-RoadSeg
Posts with mentions or reviews of SNE-RoadSeg.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-29.
-
[R] Computer Vision for Driving Scene Understanding: from Autonomous Driving to Road Condition Assessment - Link to a free online lecture by the author in comments
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation - https://arxiv.org/abs/2012.07890 git: https://github.com/hlwang1124/SNE-RoadSeg
What are some alternatives?
When comparing unsupervised_disparity_map_segmentation and SNE-RoadSeg you can also consider the following projects:
openMVS - open Multi-View Stereo reconstruction library
3DDFA_V2 - The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Three-Filters-to-Normal - Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)
Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
road_surface_3d_reconstruction_datasets - Road Surface 3D Reconstruction Based on Dense Subpixel Disparity Map Estimation (T-IP)
rethinking_road_reconstruction_pothole_detection - Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation (T-CYB)
unsupervised_disparity_map_segmentation vs openMVS
SNE-RoadSeg vs 3DDFA_V2
unsupervised_disparity_map_segmentation vs Three-Filters-to-Normal
SNE-RoadSeg vs Ultra-Fast-Lane-Detection
unsupervised_disparity_map_segmentation vs road_surface_3d_reconstruction_datasets
SNE-RoadSeg vs rethinking_road_reconstruction_pothole_detection
unsupervised_disparity_map_segmentation vs rethinking_road_reconstruction_pothole_detection
SNE-RoadSeg vs road_surface_3d_reconstruction_datasets