YOLOP VS SGDepth

Compare YOLOP vs SGDepth and see what are their differences.

SGDepth

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance (by ifnspaml)
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YOLOP SGDepth
5 -
1,822 194
3.1% 0.0%
3.2 1.8
6 months ago about 3 years ago
Python 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.
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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.

YOLOP

Posts with mentions or reviews of YOLOP. We have used some of these posts to build our list of alternatives and similar projects.

SGDepth

Posts with mentions or reviews of SGDepth. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning SGDepth yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing YOLOP and SGDepth you can also consider the following projects:

PaddleSeg - Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

deep-video-mvs - Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)

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

jiant - jiant is an nlp toolkit

HybridNets - HybridNets: End-to-End Perception Network

merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration