SNE-RoadSeg VS unsupervised_disparity_map_segmentation

Compare SNE-RoadSeg vs unsupervised_disparity_map_segmentation and see what are their differences.

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SNE-RoadSeg unsupervised_disparity_map_segmentation
1 2
290 13
- -
1.8 3.9
almost 3 years ago about 3 years ago
Python MATLAB
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.

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.

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.

What are some alternatives?

When comparing SNE-RoadSeg and unsupervised_disparity_map_segmentation you can also consider the following projects:

3DDFA_V2 - The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

openMVS - open Multi-View Stereo reconstruction library

Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Three-Filters-to-Normal - Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)

rethinking_road_reconstruction_pothole_detection - Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation (T-CYB)

road_surface_3d_reconstruction_datasets - Road Surface 3D Reconstruction Based on Dense Subpixel Disparity Map Estimation (T-IP)