Computer Vision | 最近的学习路线
Vision Transformer
paper：[2010.11929] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (arxiv.org)
bilibili：ViT论文逐段精读【论文精读】_哔哩哔哩_bilibili
code：WZMIAOMIAO/deep-learning-for-image-processing (github.com)
DeiT
paper：[2012.12877] Training data-efficient image transformers & distillation through attention (arxiv.org)
bilibili：DeiT：注意力Attention也能蒸馏 - 知乎 (zhihu.com)
code：同ViT
MAE
paper：[2111.06377] Masked Autoencoders Are Scalable Vision Learners (arxiv.org)
bilibili：MAE 论文逐段精读【论文精读】_哔哩哔哩_bilibili
bilibili：43、逐行讲解Masked AutoEncoder(MAE)的PyTorch代码_哔哩哔哩_bilibili
code：facebookresearch/mae
MoCo
paper：[1911.05722] Momentum Contrast for Unsupervised Visual Representation Learning (arxiv.org)
网上似乎关于MoCo的代码解读并不多，之后如果有时间可能录一份MoCo代码详解视频(如有)
Swim Transformer
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