6. References# 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
