Articles
- 2021/09/12 [Model] - SSD
- 2021/09/10 [논문리뷰] - SSD: Single Shot MultiBox Detector(2015)
- 2021/09/05 [Model] - U-Net
- 2021/09/04 [논문리뷰] - U-Net:Convolution Network for Biomedical Image Segmentation(2015)
- 2021/09/01 [A프로젝트 계획] - CCTV를 이용해 소비자 행동패턴 데이터 생성
- 2021/08/04 [ObjectTracking] - Kalman Filter(칼만 필터)
- 2021/07/31 [ComputerScience] - 운영체제4 : 프로세스 스케쥴링(Scheduling)
- 2021/07/24 [ComputerScience] - 운영체제3 : 운영체제의 구조
- 2021/07/20 [논문리뷰] - SORT: Simple Online and Realtime Tracking(2017)
- 2021/07/19 [Algorithm] - Dict 주요 연산 시간복잡도
- 2021/07/18 [논문리뷰] - Multiple Object Tracking: A Literature Review(2017)
- 2021/07/17 [ComputerScience] - 운영체제2 : 역사로 보는 운영체제(1950~2000)
- 2021/07/17 [computerscience] Os
- 2021/07/10 [ComputerScience] - 운영체제1 : 운영체제란 무엇인가
- 2021/07/07 [Model] - Yolo v1
- 2021/07/05 [논문리뷰] - Yolo: You Only Look Onces: Unified, Real-Time Object Detection
- 2021/07/05 [논문리뷰] - Mask R-CNN: Mask R-CNN
- 2021/07/03 [논문리뷰] - Fast R-CNN: Fast R-CNN(2015)
- 2021/07/01 [논문리뷰] - R-CNN:Rich feature hierarchies for accurate object detection and semantic segmentation(2014)
- 2021/06/26 [Algorithm] - 문자열(String) 조작 팁
- 2021/06/15 [Pytorch] - 전이학습(Transfer Learning)
- 2021/05/29 [Algorithm] - List 주요 연산 시간복잡도
- 2021/05/21 [Model] - Mask RCNN
- 2021/04/10 [Pytorch] - Normalization을 역으로! Inverse Normalization
- 2021/03/20 [Python] - Class에 대한 전반적인 이야기
- 2021/02/25 [Algorithm] - 피보나치 함수(백준 1003)
- 2021/02/13 [Model] - FCN
- 2021/01/28 [Model] - R-CNN
- 2021/01/06 [Model] - LeNet-5
- 2020/10/21 [Machine-Learning] - IoU(Intersection over Union)
- 2020/07/20 [Machine-Learning] - mAP(mean Average Precision)
- 2020/06/25 [Machine-Learning] - Precision & Recall
- 2020/06/01 [Python] - Python코드의 스타일을 통일하자!(PEP8)
- 2020/05/15 [Pytorch] - 공개된 Datasets 이용하기(feat.COCO)
- 2020/04/10 [Pytorch] - 공개된 Datasets 이용하기(feat.PASCAL-VOC)
- 2020/02/28 [Pytorch] - model.eval() vs torch.no_grad()
- 2020/02/20 [Machine-Learning] - 가중치 초기화(weight Initialization)
- 2020/02/05 [Machine-Learning] - 드롭아웃(Drop Out)
- 2020/01/19 [Machine-Learning] - 정규화(Regularization)
- 2020/01/04 [Machine-Learning] - 과적합(Overfitting)
- 2019/12/12 [Machine-Learning] - 폴링 계층(Pooling Layer)
- 2019/11/30 [Pytorch] - 나만의 Datasets 만들기(feat. DataLoader)
- 2019/11/21 [Machine-Learning] - 활성화 함수(Activation Function)
- 2019/11/09 [Machine-Learning] - 합성곱 신경망(Convolutional Neural Network, CNN)
- 2019/11/01 [Pytorch] - Torchvision.Transforms을 이용한 이미지 변환 및 부풀리기
- 2019/10/20 [Pytorch] - CNN을 이용한 CIFAR10 데이터 Classification(분류)
- 2019/10/10 [Machine-Learning] - 손실(=목적)함수(Loss Function)
- 2019/09/30 [Machine-Learning] - 신경망 정의(Neural Network)
- 2019/09/23 [Machine-Learning] - 경사하강법(Gradient Descent)
- 2019/09/17 [Machine-Learning] - 선형회귀(Linear Regression)
- 2019/09/14 [Pytorch] - 자동미분(Autograd)
- 2019/09/10 [Pytorch] - 텐서(Tensor)
- 2019/09/05 자동차 번호판 Detection and Recognition without Deep Learning
- 2019/09/01 [자료구조] - 개요, 배열(Array), 큐(Queue)
- 2019/08/27 [Machine-Learning] - Bag-of-Visual-Words 이해하기
- 2019/08/24 [논문리뷰] - Character Recognition in Natural Images(2009)