SimMIM VS SparK

Compare SimMIM vs SparK and see what are their differences.

SimMIM

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling". (by microsoft)
self-supervised-learning masked-image-modeling image-classification swin-transformer
Source Code
arxiv.org
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SparK

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling" (by keyu-tian)
Bert convnet convolutional-neural-networks masked-image-modeling pre-trained-model self-supervised-learning sparse-convolution SSL Cnn iclr iclr2023 Deep Learning object-detection Pytorch instance-segmentation mask-rcnn mae masked-autoencoder pretrain pretraining
Source Code
arxiv.org
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SimMIM SparK
1 3
860 1,388
0.0% -
0.0 7.3
over 1 year ago 3 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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SimMIM

Posts with mentions or reviews of SimMIM. We have used some of these posts to build our list of alternatives and similar projects.
  • My DL model mis-segment wrong objects with similar colors
    1 project | /r/computervision | 20 Mar 2023
    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

SparK

Posts with mentions or reviews of SparK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-17.

What are some alternatives?

When comparing SimMIM and SparK you can also consider the following projects:

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.

mmdetection - OpenMMLab Detection Toolbox and Benchmark

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

PaddleClas - A treasure chest for visual classification and recognition powered by PaddlePaddle

cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Swin-Transformer - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

SimMIM vs Unsupervised-Classification SparK vs SincNet SimMIM vs mmdetection SparK vs mmselfsup SimMIM vs PaddleClas SparK vs cnnimageretrieval-pytorch SimMIM vs Swin-Transformer SparK vs DeepMalwareDetector