Convolutional Neural Network

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)
YOLOv3: An incremental Improvement [Object Detection] (2)
(ADNet) Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning [Object Tracking] (3)
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)
(CPM) Convolutional Pose Machines [Human Pose Estimation] (1)
SSD: Single Shot Multibox Detector [Object Detection] (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)
Xception: Deep Learning with Depthwise Separable Convolutions [Classification] (1)
Identity Mappings in Deep Residual Networks [Classification] (1)
(DenseNet) Densely Connected Convolutional Networks [Classification] (1)
(Resnet) Deep Residual Learning for Image Recognition [Classification] (1)
(Inception-v1) Going deeper with convolutions [Classification] (1)
Network in Network [Classification] (1)
(ZF-Net) Visualizing and Understanding Convolutional Networks [Classification] (1)
(VGGNet) Very Deep Convolutional Networks for Large-Scale Visual Recognition [Classification] (1)
YOLO9000: Better, Faster Stronger [Object Detection] (1)