decoupled-style-descriptors VS sam

Compare decoupled-style-descriptors vs sam and see what are their differences.

decoupled-style-descriptors

Code and data for ECCV 2020 paper Generating Handwriting via Decoupled Style Descriptors (by brownvc)

sam

Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters" (by anguyen8)
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decoupled-style-descriptors sam
2 2
47 25
- -
0.0 0.0
over 1 year ago over 1 year ago
Python Python
GNU General Public License v3.0 or later -
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.

decoupled-style-descriptors

Posts with mentions or reviews of decoupled-style-descriptors. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-14.

sam

Posts with mentions or reviews of sam. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-04.

What are some alternatives?

When comparing decoupled-style-descriptors and sam you can also consider the following projects:

graph-cut-ransac - The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

bbox-visualizer - Make drawing and labeling bounding boxes easy as cake

magsac - The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

second.pytorch - PointPillars for KITTI object detection