Useful Links Of Machine Learning
- Neutral Network
- Conference Papers
- Adversarial Autoencoders (pdf, theano, pytorch)
- PixelGAN Autoencoders (pdf)
- Wasserstein Auto-Encoders (pdf)
- GAN: Generative Adversarial Networks (pdf, code)
- InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets (pdf, code)
- VAE: Auto-Encoding Variational Bayes (pdf, tutorial, tensorflow)
- PixelRNN: Pixel Recurrent Neural Networks (pdf)
- PixelCNN: Conditional Image Generation with PixelCNN Decoders (pdf)
- GMM: Generative Moment Matching Networks (pdf)
- DARN: Deep AutoRegressive Networks (pdf)
- Unsupervised Learning of Object Landmarks through Conditional Image Generation (pdf)
- Convolution Guide: A guide to convolution arithmetic for deeplearning (pdf)
- Deformable Convolutional Networks (pdf, mxnet)
- Spatial Transformer Networks (pdf, tensorflow)
- VggNet: Very Deep Convolutional Networks for Large-Scale Image Recognition (pdf)
- ResNet: Deep Residual Learning for Image Recognition (pdf, tensorflow, caffe, mxnet)
- WRN: Wide residual networks (pdf)
- ResNext: Aggregated residual transformations for deep neural networks (pdf)
- Incption
- v1: Going Deeper with Convolutions (pdf)
- v2: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (pdf)
- v3: Rethinking the Inception Architecture for Computer Vision (pdf)
- v4: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (pdf)
- DenseNet: Densely Connected Convolutional Networks (pdf, code)
- SiameseNet: Siamese Neural Networks for One-shot Image Recognition (pdf)
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications (pdf)
- MobileNetV2: Inverted Residuals and Linear Bottlenecks (pdf)
- MobileNetV3
- Xception: Deep Learning with Depthwise Separable Convolutions (pdf)
- RCNN: R-CNN: Regions with Convolutional Neural Network Features (pdf)
- Fast-RCNN: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (pdf)
- Faster-RCNN: Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks (pdf)
- R-FCN (pdf)
- Mask-RCNN (pdf)
- Focal Loss: Focal Loss for Dense Object Detection (pdf)
- Non-local Neural Networks(pdf)
- FPN: Feature Pyramid Networks for Object Detection (pdf)
- Cascade R-CNN: Delving into High Quality Object Detection (pdf)
- SNIP: An Analysis of Scale Invariance in Object Detection (pdf)
- YOLO-3D: Real-Time Seamless Single Shot 6D Object Pose Prediction (pdf)
- Light-Head R-CNN: In Defense of Two-Stage Object Detector (pdf)
- FCOS: Fully Convolutional One-Stage Object Detection (pdf)
- CRNN: An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognitio (pdf)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (pdf)
- DeepID1: Deep Learning Face Representation from Predicting 10,000 Classes (pdf)
- DeepID2: Deep Learning Face Representation by Joint Identification-Verification (pdf)
- DeepID2+: Deeply learned face representations are sparse, selective, and robust (pdf)
- DeepID3: Face recognition with very deep neural networks (pdf)
- FaceNet: A Unified Embedding for Face Recognition and Clustering (pdf)
- MTCNN: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks (pdf)
- TripletNet: Deep metric learning using Triplet network (pdf)
- Deep Photo Style Transfer (pdf, code)
- Ladder Networks:
- Lateral Connections in Denoising Autoencoders (pdf)
- From Neural PCA to Deep Unsupervised Learning (pdf)
- Semi-Supervised Learning with Ladder Networks (pdf, theano, tensorflow)
- Deconstructing the Ladder Network Architecture (pdf)
- Learning Deep Features for Discriminative Localization (pdf, project)
- A Year In Computer Vision
- DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation (pdf, tensorflow)
- Perceptual Losses for Real-Time Style Transfer (pdf)
- WESPE: Weakly Supervised Photo Enhancer for Digital Cameras (pdf)
- CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (pdf, office-pytorch)
- DualGAN: Unsupervised Dual Learning for Image-to-Image Translation (pdf, tensorflow)
- DiscoGAN: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks (pdf)
- Second Order
- Metric Learning
- Others
- DRAW: A Recurrent Neural Network For Image Generation: (pdf)
- High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis (pdf, torch)
- Reconstruction of Hidden Representation for Robust Feature Extraction (pdf)
- Between-class Learning for Image Classification (pdf)
- Age Regression by Conditional Adversarial Autoencoder (pdf, office)
- Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction (pdf, office)
- Stacked Similarity-Aware Autoencoders (pdf)
- Joint Unsupervised Learning of Deep Representations and Image Clusters (pdf)
- Lifelong learning with a network of experts (pdf)
- Crossing Generative Adversarial Networks for Cross-View Person Re-identification (pdf)
- Deep Unsupervised Clustering Using Mixture of Autoencoders (pdf)
- Waiting
- Bilinear CNN Models for Fine-grained Visual Recognition (pdf)
- Interpretable Transformations with Encoder-Decoder Networks (pdf)
- Deformable Convolutional Networks (pdf)
- Learning Hierarchical Features from Generative Models (pdf)
- Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations (pdf)
- XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
- Crossing Generative Adversarial Networks for Cross-View Person Re-identification
- Deep Unsupervised Clustering Using Mixture of Autoencoders
- Adversarial Symmetric Variational Autoencoder
- LapGAN: Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks (pdf)
- Recent
- FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
- Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection