3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection 리뷰
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection 정리하기
Deep Learning
The Lottery Ticket Hypothesis: Finding Sparse, Train able Neural Network와 후속 연구
Lottery Ticket Hypothesis와 그 후속 연구 관련 글을 보고 정리했습니다. 공부한 링크는 아래와 같습니다.
GNN의 원리 이해해보기
GNN의 원리를 이해해보자.
Git repository 공개 비공개 변경법
Git Repository를 비공개 or 공개해봅시다.
pandas 데이터 입출력
pandas를 이용하여 파일을 입출력해봅시다.
여러가지 GD(Gradient Descent)에 대해 알아보자
여러가지 GD(Gradient Descent)에 대해 알아보자
L1 Regularization and L2 Regularization
L1 Regularization과 L2 Regularization에 대해 알아보겠습니다.
Epoch, Batch Size, Iteration
Epoch, Batch Size, Iteration에 대해 알아보겠습니다.
Object funcion vs. Loss function vs. Cost function
Object funcion vs. Loss function vs. Cost function
분류성능 평가 지표(TP, FP, FN, TN, Precision, Recall, Accuracy, IOU, AP)
분류성능 평가 지표(TP, FP, FN, TN, Precision, Recall, Accuracy, IOU, AP)
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs 리뷰
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs 리뷰
BlazeFace : Sub-millisecond Neural Face Detection on Mobile GPUs 리뷰
BlazeFace : Sub-millisecond Neural Face Detection on Mobile GPUs 리뷰
Object Detection task 종류 용어 정리
딥러닝에서 Object Detection task 종류 용어 정리하기
pooling과 filter란?
딥러닝에서 pooling과 filter에 대해 기초 다지기 단순히 용어의 설명이 아닌 역할에 대해 알아보겠습니다.
3D Face Recognition using R-ICP and Geodesic Coupled Approach 리뷰
3D Face Recognition using R-ICP and Geodesic Coupled Approach 리뷰
FaraPy: An Augmented Reality Feedback System for Facial Paralysis using Action Unit Intensity Estimation 리뷰
FaraPy: An Augmented Reality Feedback System for Facial Paralysis using Action Unit Intensity Estimation 리뷰
Learning Spatiotemporal Features with 3D Convolutional Networks (C3D) 리뷰
Learning Spatiotemporal Features with 3D Convolutional Networks (C3D) 리뷰
Video Transformer Network 리뷰
Video Transformer Network 리뷰
Omni-sourced Webly-supervised Learning for Video Recognition 리뷰
Omni-sourced Webly-supervised Learning for Video Recognition 리뷰
SMART Frame Selection for Action Recognition 리뷰
SMART Frame Selection for Action Recognition 리뷰
SlowFast Networks for Video Recognition 리뷰
SlowFast Networks for Video Recognition 리뷰
Transfer Learning이란?
참고 사이트 : https://cs231n.github.io/transfer-learning/
PERF-Net : Pose Empowered RGB-Flow Net 리뷰
PERF-Net : Pose Empowered RGB-Flow Net 리뷰
Knowledge Distillation이란?
Knowledge Distillation or Distillation learning
A Closer Look at Sptiotemporal Convolutions for Action Recognition 리뷰
A Closer Look at Sptiotemporal Convolutions for Action Recognition 리뷰
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset 리뷰
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset 리뷰
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition 리뷰
Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition 리뷰
An Improved two-stream 3D convolution Neural Network for Human Action Recognition 리뷰
An Improved two-stream 3D convolution Neural Network for Human Action Recognition 리뷰
Openpose를 Windows에서 빌드하여 돌려보기
이번 포스팅은 Openpose를 빌드하고 돌려보는 것 포스팅하겠습니다.
TF-pose-estimation 빌드하여 돌려보기
이번 포스팅은 TF-pose-estimation을 빌드하고 돌려보는 것 포스팅하겠습니다.
Test Posting - DeepLearning
Category Deep Learning Test!