Papers
Summaries of machine learning papers
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This repository contains short summaries of some machine learning papers.
Added 2018/10/01:
UNSUPERVISED LEARNINGECCV 2018Deep Clustering for Unsupervised Learning of Visual FeaturesOBJECT DETECTIONPOINT CLOUDSELF-DRIVING CARSECCV 2018Deep Continuous Fusion for Multi-Sensor 3D Object DetectionAUDIOSOUND SOURCE LOCALIZATIONACTION RECOGNITIONSOUND SOURCE SEPARATIONSELF-SUPERVISEDECCV 2018Audio-Visual Scene Analysis with Self-Supervised Multisensory FeaturesUNCERTAINTYECCV 2018Towards Realistic PredictorsOBJECT DETECTIONECCV 2018Acquisition of Localization Confidence for Accurate Object DetectionOBJECT DETECTIONECCV 2018CornerNet: Detecting Objects as Paired KeypointsNORMALIZATIONECCV 2018Group NormalizationARCHITECTURESATTENTIONECCV 2018Convolutional Networks with Adaptive Inference Graphs
Added 2018/03/08:
ARCHITECTURESATTENTIONSpatial Transformer Networks (thanks, alexobednikov)
Added 2018/03/06:
LOSS FUNCTIONSRECOGNITIONWorking hard to know your neighbor’s margins: Local descriptor learning loss (thanks, alexobednikov)
Added 2017/12/13:
FACE RECOGNITIONFACESNeural Aggregation Network for Video Face Recognition (thanks, alexobednikov)
Added 2017/12/03:
- Critical Learning Periods in Deep Neural Networks
GANSELF-DRIVING CARSHigh-Resolution Image Synthesis and Semantic Manipulation with Conditional GANsSELF-DRIVING CARSComputer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
Added 2017/10/28:
Added 2017/10/24:
SELF-DRIVING CARSSystematic Testing of Convolutional Neural Networks for Autonomous DrivingSELF-DRIVING CARSSEGMENTATIONFast Scene Understanding for Autonomous DrivingSELF-DRIVING CARSArguing Machines: Perception-Control System Redundancy and Edge Case Discovery in Real-World Autonomous DrivingSELF-DRIVING CARSGANREINFORCEMENTVirtual to Real Reinforcement Learning for Autonomous DrivingSELF-DRIVING CARSEnd 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
REINFORCEMENTRainbow: Combining Improvements in Deep Reinforcement LearningREINFORCEMENTLearning to Navigate in Complex EnvironmentsGANUnsupervised Image-to-Image Translation NetworksRNNDilated Recurrent Neural NetworksOBJECT DETECTIONTRACKINGDetect to Track and Track to DetectARCHITECTURESDilated Residual Networks
Added 2017/09/24:
OBJECT DETECTIONFeature Pyramid Networks for Object DetectionOBJECT DETECTIONSSD: Single Shot MultiBox DetectorOBJECT DETECTIONEFFICIENT NETWORKSMobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsOBJECT DETECTIONMask R-CNN
Added 2017/08/08:
FACESMulti-view Face Detection Using Deep Convolutional Neural Networks (aka DDFD) (thanks, arnaldog12)
Added 2017/06/11:
GANOn the Effects of Batch and Weight Normalization in Generative Adversarial NetworksGANBEGANGANStackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial NetworksACTIVATION FUNCTIONSSelf-Normalizing Neural NetworksGANWasserstein GAN (aka WGAN)
Added 2017/03/15:
OBJECT DETECTIONYOLO9000: Better, Faster, Stronger (aka YOLOv2)OBJECT DETECTIONYou Only Look Once: Unified, Real-Time Object Detection (aka YOLO)OBJECT DETECTIONPVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
Added 2017/03/14:
OBJECT DETECTIONR-FCN: Object Detection via Region-based Fully Convolutional NetworksOBJECT DETECTIONFaster R-CNNOBJECT DETECTIONFast R-CNNOBJECT DETECTIONRich feature hierarchies for accurate object detection and semantic segmentation (aka R-CNN)PEDESTRIANSTen Years of Pedestrian Detection, What Have We Learned?NEURAL STYLEInstance Normalization: The Missing Ingredient for Fast Stylization
Added 2016/07/29:
HUMAN POSE ESTIMATIONStacked Hourglass Networks for Human Pose EstimationFACESDeepFace: Closing the Gap to Human-Level Performance in Face VerificationTRANSLATIONCharacter-based Neural Machine Translation
Added 2016/07/01:
HUMAN POSE ESTIMATIONConvolutional Pose MachinesFACESHyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender RecognitionFACESFace Attribute Prediction Using Off-the-Shelf CNN FeaturesFACESCMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection- Conditional Image Generation with PixelCNN Decoders
GANInfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial NetsGANImproved Techniques for Training GANs- Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
Added 2016/06/06:
ARCHITECTURESFractalNet: Ultra-Deep Neural Networks without Residuals- PlaNet - Photo Geolocation with Convolutional Neural Networks
OPTIMIZERSAdam: A Method for Stochastic OptimizationGANRNNGenerating images with recurrent adversarial networksGANAdversarially Learned Inference
Added 2016/06/02:
ARCHITECTURESResnet in Resnet: Generalizing Residual ArchitecturesAUTOENCODERSRank Ordered AutoencodersARCHITECTURESWide Residual NetworksARCHITECTURESIdentity Mappings in Deep Residual Networks
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