PaddleClas
SimMIM
| PaddleClas | SimMIM | |
|---|---|---|
| 2 | 1 | |
| 5,262 | 860 | |
| 0.7% | 0.0% | |
| 5.4 | 0.0 | |
| 7 days ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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PaddleClas
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Baidu AI Research Team Introduces ‘PP-ShiTu’: A Practical Lightweight Image Recognition System
Quick 5 Min Read | Paper | Github
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Baidu Research Introduces PP-LCNet: A Lightweight CPU Convolutional Neural Network With Better Accuracy And Performance
3 Min Quick Read | Paper| Github PaddleClas
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?
Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
mmdetection - OpenMMLab Detection Toolbox and Benchmark
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
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"
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
Swin-Transformer - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Video-Swin-Transformer - This is an official implementation for "Video Swin Transformers".
DWPose - "Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Lion - Code for "Lion: Adversarial Distillation of Proprietary Large Language Models (EMNLP 2023)"