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A treasure chest for visual recognition powered by PaddlePaddle
Official Pytorch implementation of CutMix regularizer
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
A toolkit full of handy functions including most used models and utilities for deep-learning practitioners!
Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
Keras implementation of CutMix regularizer
Official Codes and Pretrained Models for RecursiveMix
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.
tensorflow2 implementation of SnapMix as described in SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
This is a TensorFlow implementation of the following paper: DropBlock: A regularization method for convolutional networks
Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.
Implementation of CutMix Augmentation with Keras.