Convolutional Neural Network


Human Pose Estimation
Segmentation
face
Classification Imagenet ILSVRC2012 등을 중심으로 딥러닝 발전에 기여한 Image Classifcation 모델들을 리뷰하는 공간입니다.
Object Tracking Visual Object Tracking과 관련된 논문을 다룹니다.
Object Detection

'Convolutional Neural Network' 카테고리의 설명 [Convolutional Neural Network] (1)
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection [Object Tracking] (1)
(HA-CNN) Harmonious Attention Network for Person Re-Identification [Object Detection] (1)
WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection [Object Detection] (1)
Mobile Video Object Detection with Temporally-Aware Feature Maps [Object Detection] (2)
(VITAL) Visual Tracking via Adversarial Learning [Object Tracking] (10)
R-FCN: Object Detection via Region-based Fully Convolutional Networks [Object Detection] (2)
Pelee: A Real-Time Object Detection System on Mobile Devices [Object Detection] (1)
Fast R-CNN [Object Detection] (1)
(PTAV) Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking [Object Tracking] (1)
(MemTrack) Learning Dynamic Memory Networks for Object Tracking [Object Tracking] (1)
Deep Feature Flow for Video Recognition [Object Detection] (2)
(FGFA) Flow-Guided Feature Aggregation for Video Object Detection [Object Detection] (2)
(YOLO) You Only Look Once: Unifed, Real-Time Object Detection [Object Detection] (3)
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model [Human Pose Estimation] (1)
Towards Accurate Multi-person Pose Estimation in the Wild [Human Pose Estimation] (1)
(MGNet) Online object tracking via motion-guided convolutional neural network [Object Tracking] (3)
Detect-and-Track: Efficient Pose Estimation in Videos [Human Pose Estimation] (1)
Impression Network for Video Object Detection [Object Detection] (1)
(FlowTrack) End-to-end Flow Correlation Tracking with Spatial-temporal Attention [Object Tracking] (1)
(EAST) Learning Policies for Adaptive Tracking with Deep Feature Cascades [Object Tracking] (1)
CREST: Convolutional Residual Learning for Visual Tracking [Object Tracking] (1)
UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking [Object Tracking] (1)
Seq-NMS for Video Object Detection [Object Detection] (1)
(RASNet) Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking [Object Tracking] (1)
(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)