.md .pdf

repository open issue

Contents

6. 참고 문헌

Dataset

• Face Mask Detection

Papers

• Speed/accuracy trade-offs for modern convolutional object detectors

• Applications of Object Detection System

• Rich feature hierarchies for accurate object detection and semantic segmentation

• Fast R-CNN

• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

• You Only Look Once: Unified, Real-Time Object Detection

• SSD: Single Shot Multibox Detector

• Object Detection in 20 Years: A Survey

Code

• Dive into Deep Learning

• a-PyTorch-Tutorial-to-Object-Detection

• COVID-19: Face Mask Detector with OpenCV, Keras/TensorFlow, and Deep Learning

• Detectron2 Tutorial.ipynb

• Pytorch - FasterRCNN

• Detectron 2 Face Detection

• Face Mask Detection using SSD [Tutorial]

• albumentations - fast image augmentation library 소개 및 사용법 Tutorial

• TORCHVISION OBJECT DETECTION FINETUNING TUTORIAL

• SAVING AND LOADING MODELS

• VISUALIZING MODELS, DATA, AND TRAINING WITH TENSORBOARD

• About probabilities

• Using Albumentations to augment bounding boxes for object detection tasks

• Bounding boxes augmentation for object detection

• PyTorch-YOLOv3

Blog

• R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms

• Tutorials of Object Detection using Deep Learning

• What is Object Detection?

• Object Detection, R-CNN, Fast R-CNN, Faster R-CNN

• YOLO_github

• YOLO_naver

• A Step-by-Step Introduction to the Basic Object Detection Algorithms (Part 1)

• [Object Detection] one-stage detector vs two-stage detector

• 1-Stage detector and 2-Stage detector

• RCNN 부터 Mask R-CNN까지 (1) R-CNN ~ Fast R-CNN

• Data Augmentation

• Albumentations: Fast and Flexible Image Augmentations

• NMS

• Review: RetinaNet — Focal Loss (Object Detection)

• Detectornet

• One-Stage Review

5. Faster R-CNN 코로나 확진자 수 예측 모델 구축