Deep Learning Outline [Uncategorized] (1)
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer [Optimization / Training] (1)
DARTS: Differentiable Architecture Search [NAS] (3)
(ENAS) Efficient Neural Architecture Search via Parameter Sharing [NAS] (1)
(NAS) Learning Transferable Architectures for Scalable Image Recognition [NAS] (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)
Active One-shot Learning [Meta Learning] (2)
WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection [Object Detection] (1)
NCCL을 이용한 Efficient한 Tensorflow MultiGPU Training 코드 작성하기 [Open Sources & Books & Conferences] (13)
Mac환경에서 Opencv 3.x 를 python3에서 동작하도록 직접 빌드하기 [Open Sources & Books & Conferences] (2)
Github Introduction [Open Sources & Books & Conferences] (1)
SuperPoint: Self-Supervised Interest Point Detection and Description [SLAM / Sensor Fusion] (1)
Ideas for 9th Kaggle TensorFlow Speech Recognition Challenge [Open Sources & Books & Conferences] (9)
End-to-End, Sequence-to-Sequence Probabilistic Visual Odometry through Deep Neural Networks [SLAM / Sensor Fusion] (1)
An Approach for Noise Removal on Depth Images [SLAM / Sensor Fusion] (1)
LIDAR and stereo camera data fusion in mobile robot mapping [SLAM / Sensor Fusion] (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)