#Computer Vision & Image Processing" (1) 커리큘럼 - Computer Vision & Image Processing 개요 및 실습

 

• 개요
• Computer Vision
• Image Processing  
• Background 
• RGB vs YUV
• Algorithm 
• CNN (Convolutional neural networks)
• R-CNN
• Fast R-CNN
• Faster R-CNN
• YOLO
• GAN (Generative Adversarial Networks)
• cGAN
• DCGAN
• condition GAN
• Cycle GAN
• Style GAN
• 3D Reconstruction
• 1st Generation of CNN-based Matching
• MC-CNN [CVPR15]
• Deep Embed [ICCV15]
• Content-CNN[CVPR16]
• 2St Generation of CNN-based Matching
• DisplayNet [CVPR16]
• DeMoN [CVPR17]
• 3st Generation of CNN-based Matching
• DPSNet [ICLR19]
• Image Retrieval 

• R&D Topic
• Image Classification
• Object Detection
• Object tracking
• 3D Reconstruction
• Structure from Motion (SfM)
• Dense 3D reconstruction
• Deep learning-based dense 3D matching techniques
• (Human) Action Recognition / Localization
• Image super-resolution
• Image Segmentation
• Human Face
• Person Re-Identification
• Generative adversarial networks for computer vision
• Generative Models for Computer Vision
• Super-Resolution
• Scene Understanding
• Computer Vision and Natural Language Processing
• Image Retrieval
• Lightweight Neural Architectures
• Domain Adaptation/Generalization
• Unsupervised image feature learning
• 실습

Reference

• 참고 서적
• 참고 강의 
• 2021년 컴퓨터 비전 - 허재필 교수/성균관대학교
• 도움이 되는 강의 
• http://hunkim.github.io/ml/ 모두를 위한 머신러닝/딥러닝 강의 - 홍콩과기대 김성훈-
• https://youtube.com/playlist?list=PLQ28Nx3M4JrhkqBVIXg-i5_CVVoS1UzAv  모두를 위한 딥러닝 시즌 2 [PyTorch]