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[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Papers about developing deep Graph Neural Networks (GNNs)
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
This is the official code repo for "RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?"
About Official PyTorch(MMCV) implementation of “SUMix: Mixup with Semantic and Uncertain Information” (ECCV 2024)
[ICCV 23]This is a Pytorch implementation of our paper "SMMix: Self-Motivated Image Mixing for Vision Transformers"
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
mobilenetv3 with pytorch，provide pre-train model
A PyTorch implementation of DetCo https://arxiv.org/pdf/2102.04803.pdf
MoCo v2 Pytorch tutorial, https://arxiv.org/abs/2003.04297
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations