PaperReading

Classification

• LeNet:Gradient-based learning applied to document recognition
• NIN: Network In Network
• AlexNet: ImageNet Classification with Deep Convolutional Neural Networks
• VGG: Very Deep Convolutional Networks for Large-Scale Image Recognition
• Inception
• ResNet: Deep Residual Learning for Image Recognition
• DenseNet: Densely Connected Convolutional Networks
• Xception: Deep Learning with Depthwise Separable Convolutions
• ResNeXt: Aggregated Residual Transformations for Deep Neural Networks
• ResNeSt: Split-Attention Networks
• BiT: Big Transfer

Basic

• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Alpha Matting

• MODNet: Trimap-Free Portrait Matting in Real Time
• MODNet-V: Improving Portrait Video Matting via Background Restoration
• RVM: Robust High-Resolution Video Matting with Temporal Guidance
• UserClickMatting: Improved Image Matting via Real-time User Clicks and Uncertainty Estimation
• BackgroundMattingv1: The World is Your Green Screen
• BackgroundMattingv2:R eal-Time High-Resolution Background Matting
• AlphaGAN: Generative adversarial networks for natural image matting
• Attention-Guided Hierarchical Structure Aggregation for Image Matting
• Deep Video Matting via Spatio-Temporal Alignment and Aggregation

Object Detection

• Yolo: You Only Look Once: Unified, Real-Time Object Detection
• Yolov2: Better, Faster
• YOLOv3: An Incremental Improvement

Segmentation

• Mask R-CNN
• DeepLab
• DFANet：Deep Feature Aggregation for Real-Time Semantic Segmentation
• BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
• BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation

Style Transfer

• A Neural Algorithm of Artistic Style
• Perceptual Losses for Real-Time Style Transfer and Super-Resolution
• Multi-style Generative Network for Real-time Transfer
• Universal Style Transfer via Feature Transforms
• Fast Patch-based Style Transfer of Arbitrary Style
• Meta Networks for Neural Style Transfer
• Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
• Learning Linear Transformations for Fast Image and Video Style Transfer
• Coherent Online Video Style Transfer
• ReCoNet: Real-time Coherent Video Style Transfer Network
• Fast Video Multi-Style Transfer

GAN

• GAN: Generative Adversarial Nets.
• CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
• StyleGAN: A Style-Based Generator Architecture for Generative Adversarial Networks
• Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space
• Labels4Free: Unsupervised Segmentation using StyleGAN

FlowNet

• FlowNet: Learning Optical Flow with Convolutional Networks
• FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Re-ID

• STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification

SOD

• Label Decoupling Framework for Salient Object Detection