A treasure chest for visual classification and recognition powered by PaddlePaddle
-
Updated
Sep 30, 2024 - Python
A treasure chest for visual classification and recognition powered by PaddlePaddle
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Image Classification Using Swin Transformer With RandAugment, CutMix, and MixUp
SSL Methods integrated into the official implementation of the ECCV"22 Paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
MobileNetV3 implementation using PyTorch
Prediction of MNIST data with only 100 labels
A simple template for classifying things
This repository contains the code and the report for the coursework of INFR11031 Advanced Vision, a postgraduate course offered at The University of Edinburgh. The task was to train on limited and improve the accuracy of the ResNet-50 classifier on a small subset of the ImageNet dataset containing 50K training images and 50K test images. Achieve…
This project includes multiple models, loss functions, optimizers and image augmentations for image classification task
Collection of deep learning modules
face recognition training project(pytorch)
FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tricks towards state-of-the-art class classification.
RandAugment with Keypoints Annotation Support.
Full experimentation notebook for my Keras Example on using RandAugment.
EfficientNet with Robust Training: MICCAI Skin Cancer Analysis Challenge
Optimize RandAugment with differentiable operations
Unofficial PyTorch Reimplementation of UniformAugment.
[Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Applying RandAugment on PointNet++
Add a description, image, and links to the randaugment topic page so that developers can more easily learn about it.
To associate your repository with the randaugment topic, visit your repo's landing page and select "manage topics."