Insta-DM VS SGDepth

Compare Insta-DM vs SGDepth and see what are their differences.

Insta-DM

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021) (by SeokjuLee)

SGDepth

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance (by ifnspaml)
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Insta-DM SGDepth
1 -
221 194
- 0.0%
0.0 1.8
10 months ago about 3 years ago
Python Python
GNU General Public License v3.0 or later 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.

Insta-DM

Posts with mentions or reviews of Insta-DM. 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 Insta-DM and SGDepth you can also consider the following projects:

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

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

MiDaS - Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

jiant - jiant is an nlp toolkit

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

YOLOP - You Only Look Once for Panopitic Driving Perception.(MIR2022)