Deep Learning 활용 사례

Deep Learning 활용 사례

Computer Vision Tasks (1)

• No object Just pixels
  • Semantic Segmentation
    • CAT | GRASS | TREE ..
• Single object
  • Classfication
    • CAT
  • Classfication + localization
    • CAT
• Multiple objects
  • Object detection : Videos ..
    • CAT | DOG | DUCK
  • Instance segmentation
    • CAT1, CAT2, DOG, DUCK

Computer Vision Tasks (2) Obtical Character Recognition

• 주민등록증
  • 이름
  • 주민번호
  • 주소
  • 발급일자
  • 발급기관
• 상품
  • 상품명
  • 회사
  • etc.

Computer Vision Tasks (3) Motion Capture without Marker

• Object detection
• etc.

Natural Language Processing Tasks

• Language generation
• Answering questions
• Text classfication
• Sentiment analysis
• Machine translation
• 예: ChatGPT

Multi-Modal Tasks (1) Image Generation (text to image)

• Multi-Modal : Text + Vision + Audio + etc.
  • script : "A person half Yoda half Gandalf"
    • process : Embedding -> Embedding + DM - Denoise + ... + -> result(image)

Multi-Modal Tasks (2) Video Generation (text to video)

• 예 : Sora AI

출처 : 메타코드M