MinVIS
By NVlabs
PeRFception
[NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields. (by POSTECH-CVLab)
Our great sponsors
| MinVIS | PeRFception | |
|---|---|---|
| 5 | 5 | |
| 261 | 327 | |
| 1.5% | 1.8% | |
| 0.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
MinVIS
Posts with mentions or reviews of MinVIS.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-03.
-
Using image based models for videos
This is basically that but for instance segmentation https://github.com/NVlabs/MinVIS
- [D] Most Popular AI Research Aug 2022 - Ranked Based On GitHub Stars
-
Most Popular AI Research Aug 2022 pt. 2 - Ranked Based On GitHub Stars
https://arxiv.org/abs/2208.02245 https://github.com/nvlabs/minvis
-
NVIDIA AI Researchers Propose ‘MinVIS,’ A Minimal Video Instance Segmentation (VIS) Framework That Achieves SOTA Performance With Neither Video-Based Architectures Nor Training Procedures
Continue reading | Check out the Preprint/Under review paper and github link.
- A Minimal Video Instance Segmentation Framework Without Video-Based Training
PeRFception
Posts with mentions or reviews of PeRFception.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-03.
What are some alternatives?
When comparing MinVIS and PeRFception you can also consider the following projects:
Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
textual_inversion
Cold-Diffusion-Models - Official implementation of Cold-Diffusion for different transformations in pytorch.
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
Awesome-Dataset-Distillation - Awesome Dataset Distillation Papers
ddsp-singing-vocoders - Official implementation of SawSing (ISMIR'22)
walk_in_the_park
VideoX - VideoX: a collection of video cross-modal models
MinVIS vs Intrusion-Detection-System-Using-Machine-Learning
PeRFception vs textual_inversion
MinVIS vs Cold-Diffusion-Models
PeRFception vs Intrusion-Detection-System-Using-Machine-Learning
MinVIS vs bitsandbytes
PeRFception vs Awesome-Dataset-Distillation
MinVIS vs textual_inversion
PeRFception vs ddsp-singing-vocoders
MinVIS vs walk_in_the_park
PeRFception vs bitsandbytes
MinVIS vs Awesome-Dataset-Distillation
PeRFception vs VideoX