mmselfsup
Revisiting-Contrastive-SSL
| mmselfsup | Revisiting-Contrastive-SSL | |
|---|---|---|
| 5 | 1 | |
| 3,084 | 86 | |
| 0.7% | - | |
| 5.3 | 0.0 | |
| 10 months ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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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
Revisiting-Contrastive-SSL
What are some alternatives?
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DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
self-supervised - Whitening for Self-Supervised Representation Learning | Official repository
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.
TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
barlowtwins - Implementation of Barlow Twins paper
PASS - The PASS dataset: pretrained models and how to get the data
animessl - Train vision models with vissl + illustrated images
solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning