About

This repository contains short summaries of some machine learning papers.

Added 2018/10/01:

• UNSUPERVISED LEARNING ECCV 2018 Deep Clustering for Unsupervised Learning of Visual Features
• OBJECT DETECTION POINT CLOUD SELF-DRIVING CARS ECCV 2018 Deep Continuous Fusion for Multi-Sensor 3D Object Detection
• AUDIO SOUND SOURCE LOCALIZATION ACTION RECOGNITION SOUND SOURCE SEPARATION SELF-SUPERVISED ECCV 2018 Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
• UNCERTAINTY ECCV 2018 Towards Realistic Predictors
• OBJECT DETECTION ECCV 2018 Acquisition of Localization Confidence for Accurate Object Detection
• OBJECT DETECTION ECCV 2018 CornerNet: Detecting Objects as Paired Keypoints
• NORMALIZATION ECCV 2018 Group Normalization
• ARCHITECTURES ATTENTION ECCV 2018 Convolutional Networks with Adaptive Inference Graphs

Added 2018/03/08:

• ARCHITECTURES ATTENTION Spatial Transformer Networks (thanks, alexobednikov)

Added 2018/03/06:

• LOSS FUNCTIONS RECOGNITION Working hard to know your neighbor’s margins: Local descriptor learning loss (thanks, alexobednikov)

Added 2017/12/13:

• FACE RECOGNITION FACES Neural Aggregation Network for Video Face Recognition (thanks, alexobednikov)

Added 2017/12/03:

• Critical Learning Periods in Deep Neural Networks
• GAN SELF-DRIVING CARS High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
• SELF-DRIVING CARS Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art

Added 2017/10/28:

• GAN Progressive Growing of GANs for Improved Quality, Stability, and Variation

Added 2017/10/24:

• SELF-DRIVING CARS Systematic Testing of Convolutional Neural Networks for Autonomous Driving
• SELF-DRIVING CARS SEGMENTATION Fast Scene Understanding for Autonomous Driving
• SELF-DRIVING CARS Arguing Machines: Perception-Control System Redundancy and Edge Case Discovery in Real-World Autonomous Driving
• SELF-DRIVING CARS GAN REINFORCEMENT Virtual to Real Reinforcement Learning for Autonomous Driving
• SELF-DRIVING CARS End to End Learning for Self-Driving Cars

Added 2017/10/21:

• Snapshot Ensembles: Train 1, get M for free
• Image Crowd Counting Using Convolutional Neural Network and Markov Random Field
• REINFORCEMENT Rainbow: Combining Improvements in Deep Reinforcement Learning
• REINFORCEMENT Learning to Navigate in Complex Environments
• GAN Unsupervised Image-to-Image Translation Networks
• RNN Dilated Recurrent Neural Networks
• OBJECT DETECTION TRACKING Detect to Track and Track to Detect
• ARCHITECTURES Dilated Residual Networks

Added 2017/09/24:

• OBJECT DETECTION Feature Pyramid Networks for Object Detection
• OBJECT DETECTION SSD: Single Shot MultiBox Detector
• OBJECT DETECTION EFFICIENT NETWORKS MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
• OBJECT DETECTION Mask R-CNN

Added 2017/08/08:

• FACES Multi-view Face Detection Using Deep Convolutional Neural Networks (aka DDFD) (thanks, arnaldog12)

Added 2017/06/11:

• GAN On the Effects of Batch and Weight Normalization in Generative Adversarial Networks
• GAN BEGAN
• GAN StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
• ACTIVATION FUNCTIONS Self-Normalizing Neural Networks
• GAN Wasserstein GAN (aka WGAN)

Added 2017/03/15:

• OBJECT DETECTION YOLO9000: Better, Faster, Stronger (aka YOLOv2)
• OBJECT DETECTION You Only Look Once: Unified, Real-Time Object Detection (aka YOLO)
• OBJECT DETECTION PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection

Added 2017/03/14:

• OBJECT DETECTION R-FCN: Object Detection via Region-based Fully Convolutional Networks
• OBJECT DETECTION Faster R-CNN
• OBJECT DETECTION Fast R-CNN
• OBJECT DETECTION Rich feature hierarchies for accurate object detection and semantic segmentation (aka R-CNN)
• PEDESTRIANS Ten Years of Pedestrian Detection, What Have We Learned?
• NEURAL STYLE Instance Normalization: The Missing Ingredient for Fast Stylization

Added 2016/07/29:

• HUMAN POSE ESTIMATION Stacked Hourglass Networks for Human Pose Estimation
• FACES DeepFace: Closing the Gap to Human-Level Performance in Face Verification
• TRANSLATION Character-based Neural Machine Translation

Added 2016/07/01:

• HUMAN POSE ESTIMATION Convolutional Pose Machines
• FACES HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
• FACES Face Attribute Prediction Using Off-the-Shelf CNN Features
• FACES CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection
• Conditional Image Generation with PixelCNN Decoders
• GAN InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
• GAN Improved Techniques for Training GANs
• Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

Added 2016/06/06:

• ARCHITECTURES FractalNet: Ultra-Deep Neural Networks without Residuals
• PlaNet - Photo Geolocation with Convolutional Neural Networks
• OPTIMIZERS Adam: A Method for Stochastic Optimization
• GAN RNN Generating images with recurrent adversarial networks
• GAN Adversarially Learned Inference

Added 2016/06/02:

• ARCHITECTURES Resnet in Resnet: Generalizing Residual Architectures
• AUTOENCODERS Rank Ordered Autoencoders
• ARCHITECTURES Wide Residual Networks
• ARCHITECTURES Identity Mappings in Deep Residual Networks