Computer Vision
1.[Generative model]
출처 : https://www.youtube.com/watch?v=Q3HU2vEhD5Y20강 내용 정리Data: (x, y)x is data, y is labelGoal: Learn a function to map x -> yExamples: Classific
2023년 4월 10일
2.[Generative model] VAE
Generative Model = assigning density functions to images + sampling Figure adapted from Ian Goodfellow, Tutorial on Generative Adversarial Networks,
2023년 4월 11일
3.[Generative model] AutoRegressive Model : Pixel RNN/ Pixel CNN
= assigning density functions to images + samplingFigure adapted from Ian Goodfellow, Tutorial on Generative Adversarial Networks, 2017.x (image 혹은 pi
2023년 4월 10일
4.[CV] Semantic Segmentation
Semantic Segmentation : labeling per-pixel + No objects (개체를 찾지 않음)Instance Segmentation : pixel labeling Things(O), Stuff (X)Panoptic Segmentation
2023년 4월 15일