Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, +1

Image ClassificationDeep Neural NetworksMachine VisionImage AnalysisMachine Learning +12

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren, Kaiming He, Ross Girshick, +1

IEEE Transactions on Pattern Analysis and Machine Intelligence

Mask R-CNN

Kaiming He, Georgia Gkioxari, Piotr Dollár, +1

Object Instance SegmentationScene AnalysisMachine VisionImage AnalysisMachine Learning +11

Feature Pyramid Networks for Object Detection

Tsung-Yi Lin, Piotr Dollár, Ross Girshick, +3

Feature Pyramid NetworksConvolutional Neural NetworkImage AnalysisMachine VisionMachine Learning +12

Focal Loss for Dense Object Detection

Tsung-Yi Lin, Priya Goyal, Ross Girshick, +2

Image ClassificationConvolutional Neural NetworkImage AnalysisMachine VisionMachine Learning +13

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Adam Paszke, Sam Gross, Francisco Massa, +18

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningData ScienceHardware Acceleration +13

Sequence to Sequence Learning with Neural Networks

Ilya Sutskever, Oriol Vinyals, Quoc V. Le

arXiv (Cornell University)

Structured PredictionEngineeringMachine LearningSequential LearningSmt System +15

Understanding the difficulty of training deep feedforward neural networks

Xavier Glorot, Yoshua Bengio

The Hungarian method for the assignment problem

Harold W. Kuhn

Naval Research Logistics Quarterly

Mathematical ProgrammingEngineeringNumerical ScoresHungarian MathematiciansInteger Optimization +11

Non-local Neural Networks

Xiaolong Wang, Ross Girshick, Abhinav Gupta, +1

Building BlocksScene AnalysisEngineeringMachine LearningRecurrent Neural Network +15