Wiki
Study notes on deep learning and video compression.
Deep Learning
- Dive into deep learning
- AlexNet: ImageNet Classification with Deep Convolutional Neural Networks
- VGG：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
- ResNet：Deep Residual Learning for Image Recognition
- MoblieNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- GoogLeNet: Going deeper with convolutions
- R-CNN:Rich feature hierarchies for accurate object detection and semantic segmentation Tech report
- Fast R-CNN
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- YOLO v1: You Only Look Once: Unified, Real-Time Object Detection
- YOLOv2: YOLO9000: Better, Faster, Stronger
- U-Net: Convolutional Networks for Biomedical Image Segmentation
- PSPNet: Pyramid Scene Parsing Network
- DeepLabv3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
- GAN：Generative Adversarial Nets
- Transformer: Attention is all you need
- Deformable Convolutional Networks
- 杂
- BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond