[Gain Study_CV]01. Object Recognition(Classification, Semantic Segmentation)

이미 일전 글들에서 classification관련해 많이 다루었기에 아래 링크를 남긴다.

https://chan4im.tistory.com/category/Deep%20Learning%20%3A%20Vision%20System/%EB%85%BC%EB%AC%B8%20review

'Deep Learning : Vision System/논문 review' 카테고리의 글 목록

 

좀 더 자세한 CNN의 원리를 알고싶다면, 아래 링크를 추천한다.

https://poloclub.github.io/cnn-explainer/

CNN Explainer

 

 

📌 CNN 및 Vision 기본:
∙ CNN 원리:
https://chan4im.tistory.com/160
https://chan4im.tistory.com/133
∙ Auto-Encoder: https://chan4im.tistory.com/156

📌 AlexNet: https://chan4im.tistory.com/145

📌 VGGNet: https://chan4im.tistory.com/146

📌 Batch Normalization: https://chan4im.tistory.com/147

📌 GoogLeNet: https://chan4im.tistory.com/149

📌 ReLU에 관한 고찰: https://chan4im.tistory.com/150

📌 ResNet: https://chan4im.tistory.com/151

📌 ResNet-V2: https://chan4im.tistory.com/152

📌 DropBlock: https://chan4im.tistory.com/153

📌 Vision Transformer: https://chan4im.tistory.com/163
∙ Attention: https://chan4im.tistory.com/161
∙ Transformer: https://chan4im.tistory.com/162
∙ ViT: https://chan4im.tistory.com/164

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📌 Semantic Segmentation:
∙ Intro: https://chan4im.tistory.com/158
∙ Model: https://chan4im.tistory.com/159