Deep Learning Outline [Uncategorized] (1)
DetNAS: Neural Architecture Search on Object Detection [NAS] (1)
Mac 등 환경에 맞게 Tensorflow Build하기 [Open Sources & Books & Conferences] (1)
AutoAugment: Learning Augmentation Policies from Data [Optimization / Training] (2)
(Alexnet) ImageNet Classification with Deep Convolutional Neural Networks [Classification] (1)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications [Network Compression] (1)
NCCL을 이용한 Efficient한 Tensorflow MultiGPU Training 코드 작성하기 ( 2 ) [Open Sources & Books & Conferences] (23)
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation [Segmentation] (1)
You only search once: single shot neural architecture search via direct sparse optimization [NAS] (1)
DOTA: A Large-scale Dataset for Object Detection in Aerial Images [Object Detection] (1)
Categorical Reparameterization with Gumbel-Softmax [Generative Model] (1)
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms [Optimization / Training] (1)
DARTS: Differentiable Architecture Search [NAS] (4)
Pyenv & virtualenv & direnv 주요 명령어 정리 [Open Sources & Books & Conferences] (2)
Understanding and Simplifying One-Shot Architecture Search [NAS] (1)
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer [Optimization / Training] (1)
(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)
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)