PyTorch implementation of CNNs for CIFAR benchmark
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Updated
Feb 20, 2021 - Python
PyTorch implementation of CNNs for CIFAR benchmark
face recognition training project(pytorch)
Implementation of the mixup training method
TextAugment: Text Augmentation Library
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
🛠 Toolbox to extend PyTorch functionalities
An implementation of "mixup: Beyond Empirical Risk Minimization"
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
Data Augmentation For Object Detection using Pytorch and PIL
mixup: Beyond Empirical Risk Minimization
Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet
Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
[CVPR 2022] CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision
Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
An implementation of MobileNetV3 with pyTorch
Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
Official Implementation of AlignMixup - CVPR 2022
Awesome List of Mixup Augmentation Papers for Visual Representation Learning
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