This repository contains paper reading notes on deep learning and machine learning. It is inspired by Patrick Liu, and in turn Denny Britz and Daniel Takeshi.
Here is a list of trustworthy sources of papers.
- simple-faster-rcnn-pytorch (2.1k star) [Notes]
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications [Notes]
- Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet [Notes] ICLR 2019
- Searching for activation functions [Notes] (Swish)
- YOLOv4: Optimal Speed and Accuracy of Object Detection [Notes]
- EfficientDet: Scalable and Efficient Object Detection
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML 2019
- Focal Loss for Dense Object Detection (RetinaNet)
- Feature Pyramid Networks for Object Detection