(SA-Siam) A Twofold Siamese Network for Real-Time Object Tracking [Object Tracking] (1)
(siameseFC) Fully-Convolutional Siamese Networks for Object Tracking [Object Tracking] (1)
FlowNet: Learning Optical Flow with Convolutional Networks [Convolutional Neural Network] (2)
(GOTURN) Learning to Track at 100 FPS with Deep Regression Networks [Object Tracking] (1)
U-Net: Convolutional Networks for Biomedical Image Segmentation [Segmentation] (2)
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models [Optimization / Training] (1)
YOLOv3: An incremental Improvement [Object Detection] (2)
(ADNet) Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning [Object Tracking] (3)
NCCL을 이용한 Efficient한 Tensorflow MultiGPU Training 코드 작성하기 [Open Sources & Books & Conferences] (2)
(ENAS) Efficient Neural Architecture Search via Parameter Sharing [Optimization / Training] (1)
Learning Transferable Architectures for Scalable Image Recognition [Optimization / Training] (1)
Neural Architecture Search with Reinforcement Learning [Optimization / Training] (1)
FusionNet - A deep fully residual convolutional neural network for image segmentation in connectomics [Segmentation] (1)
(MDNet) Learning Multi-Domain Convolutional Neural Networks for Visual Tracking [Object Tracking] (1)
(MobilenetV2) Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation [Network Compression] (1)
Learning by Association: A versatile semi-supervised training method for neural networks [Uncategorized] (1)
네이버에서 진행된 인공지능 세미나 영상 모음 [Open Sources & Books & Conferences] (1)
Deep Learning: Practice and Trends [Open Sources & Books & Conferences] (1)
Introducing Python #2 [Open Sources & Books & Conferences] (1)
Introducing Python #1 [Open Sources & Books & Conferences] (1)
텐서플로우 가이드: 배치 노멀라이제이션 [Open Sources & Books & Conferences] (1)
(CPM) Convolutional Pose Machines [Human Pose Estimation] (1)
SSD: Single Shot Multibox Detector [Object Detection] (1)
(A3C) Asynchronous Methods for Deep Reinforcement Learning [Reinforcement Learning] (1)
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields [Human Pose Estimation] (2)
Stacked Hourglass Networks for Human Pose Estimation [Human Pose Estimation] (1)
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices [Network Compression] (1)
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift [Optimization / Training] (1)
Tensorpack과 Multigpu를 활용한 빠른 트레이닝 코드 작성하기 [Open Sources & Books & Conferences] (2)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications [Network Compression] (1)