SimMIM
mmpretrain
| SimMIM | mmpretrain | |
|---|---|---|
| 1 | 2 | |
| 860 | 3,171 | |
| 0.0% | 2.6% | |
| 0.0 | 7.8 | |
| over 1 year ago | 14 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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
mmpretrain
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMClassification: OpenMMLab image classification toolbox and benchmark.
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how to recognize digits from this pics(i have many of them) so kindly suggest generic that can work for other similar images. I have searched alot for the source code on github but not found the correct solution. most of these solutions were incorrect while other were incomplete. Kindly help me :(
MMClassification or TIMM would be good starting points for training a classification model.
What are some alternatives?
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
ModelZoo.pytorch - Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟
PaddleClas - A treasure chest for visual classification and recognition powered by PaddlePaddle
senet.pytorch - PyTorch implementation of SENet
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"
AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Swin-Transformer - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
biprop - Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.