论文阅读大纲

阅读笔记模版

经典基础论文

1. VGG Very Deep Convolutional Networks for Large-Scale Image Recognition
2. GoogleNet Going deeper with convolutions
3. ResNet Deep Residual Learning for Image Recognition
4. MobileNet MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
6. Attention is all you need
7. AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE
8. Hierarchical Vision Transformer using Shifted Windows
9. Squeeze-and-Excitation Networks
10. K-Net: Towards Unified Image Segmentation

顺序 3 → 6 → 7 → 8 → 1 → 2 → 4 → 9 → 5 → 10

代码

• PyTorch入门
• 样例
• NLP相关
• CV相关：卷积 ViT
• Colab运行代码

使用Colab需设置并检查GPU是否可用

import tensorflow as tf
gpus = tf.config.list_physical_devices('GPU')
print(f"可用的GPU设备：{gpus}")
print(f"GPU可用：{len(gpus) > 0}")