deeplab2
Cream
| deeplab2 | Cream | |
|---|---|---|
| 5 | 3 | |
| 982 | 261 | |
| 0.2% | - | |
| 4.0 | 8.2 | |
| about 1 year ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
deeplab2
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Meet MOAT: An Artificial Intelligence (AI) Model that Combines Convolution and Attention Operations to Achieve Powerful Vision Models
Quick Read: https://www.marktechpost.com/2022/12/30/meet-moat-an-artificial-intelligence-ai-model-that-combines-convolution-and-attention-operations-to-achieve-powerful-vision-models/ Paper: https://arxiv.org/pdf/2210.01820.pdf Github: https://github.com/google-research/deeplab2
- [D] Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
- Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
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[P] DeepLab2: A TensorFlow Library for Deep Labeling web demo
github: https://github.com/google-research/deeplab2
- DeepLab2 – New deep labeling library for TensorFlow
Cream
- [D] Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
- Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
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[R] Rethinking and Improving Relative Position Encoding for Vision Transformer
Code for https://arxiv.org/abs/2107.14222 found: https://github.com/microsoft/Cream/tree/main/iRPE
What are some alternatives?
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
multiface - Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions.
Unicorn - [ECCV'22 Oral] Towards Grand Unification of Object Tracking
NUWA - A unified 3D Transformer Pipeline for visual synthesis
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]