SparK
mmselfsup
| SparK | mmselfsup | |
|---|---|---|
| 3 | 5 | |
| 1,388 | 3,089 | |
| - | 0.8% | |
| 7.3 | 5.3 | |
| 3 months ago | 11 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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SparK
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[R] [ICLR'2023 Spotlight🌟]: The first BERT-style pretraining on CNNs!
For more details on SparK, please see our paper and code&demo, or shoot us questions!
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[R] A new work makes CNNs (e.g., ResNet) enjoy the BERT-style pretraining! (with a video demo)
Found relevant code at https://github.com/keyu-tian/SparK + all code implementations here
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
What are some alternatives?
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
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.
barlowtwins - Implementation of Barlow Twins paper
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