SparK
SimMIM
SparK | SimMIM | |
---|---|---|
3 | 1 | |
1,388 | 860 | |
- | 0.0% | |
7.3 | 0.0 | |
3 months ago | over 1 year ago | |
Python | Python | |
MIT License | MIT License |
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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
SimMIM
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My DL model mis-segment wrong objects with similar colors
It seems the segmentation task is complex. One thing that I can suggest that definitely worked for me is Self-supervised learning prior to training. The task of the sel-supervision is very important. In your case I suggest Masked Image Modeling because it does not rely heavily on shapes and colors but can leverage them if they exist. Check out SimMIM by Microsoft. https://arxiv.org/abs/2111.09886 . https://github.com/microsoft/simmim
What are some alternatives?
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
mmdetection - OpenMMLab Detection Toolbox and Benchmark
cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
PaddleClas - A treasure chest for visual classification and recognition powered by PaddlePaddle
DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
Swin-Transformer - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".