PyTorch implementation of CNNs for CIFAR benchmark
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Updated
Feb 20, 2021 - Python
PyTorch implementation of CNNs for CIFAR benchmark
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
face recognition training project(pytorch)
Implementation of the mixup training method
TextAugment: Text Augmentation Library
🛠 Toolbox to extend PyTorch functionalities
An implementation of "mixup: Beyond Empirical Risk Minimization"
[Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)
Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
Official PyTorch implementation of DiffuseMix : Label-Preserving Data Augmentation with Diffusion Models (CVPR'2024)
Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
mixup: Beyond Empirical Risk Minimization
[CVPR 2022] CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision
Data Augmentation For Object Detection using Pytorch and PIL
Official Implementation of AlignMixup - CVPR 2022
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification (IEEE TMI 2024)
[IJCAI 2023] Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
An implementation of MobileNetV3 with pyTorch
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