mmselfsup
barlowtwins
| mmselfsup | barlowtwins | |
|---|---|---|
| 5 | 2 | |
| 3,084 | 100 | |
| 0.7% | - | |
| 5.3 | 0.0 | |
| 10 months ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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mmselfsup
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMSelfSup: OpenMMLab self-supervised learning toolbox and benchmark.
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Does anyone know how a loss curve like this can happen? Details in comments
For some reason, the loss goes up shaply right at the start and slowly goes back down. I am self-supervised pretraining an image modeling with DenseCL using mmselfsup (https://github.com/open-mmlab/mmselfsup). This shape happened on the Coco-2017 dataset and my custom dataset. As you can see, it happens consistently for different runs. How could the loss increase so sharply and is it indicative of an issue with the training? The loss peaks before the first epoch is finished. Unfortunately, the library does not support validation.
- Defect Detection using RPI
- [D] State-of-the-Art for Self-Supervised (Pre-)Training of CNN architectures (e.g. ResNet)?
- Rebirth! OpenSelfSup is upgraded to MMSelfSup
barlowtwins
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Facebook AI In Collaboration With New York University Research Team Introduce A Novel Self-Supervised Learning Approach For Computer Vision (Paper and Github link included)
There's an unofficial implementation here.
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[R] Barlow Twins: Self-Supervised Learning via Redundancy Reduction
We have a working implementation here: https://github.com/IgorSusmelj/barlowtwins
What are some alternatives?
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
barlowtwin
mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
animessl - Train vision models with vissl + illustrated images
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.