這可能是第一班專為疫情AI應用所設計的課程。我與軟協合作的AIGO補助課程是以參與kaggle競賽為主要規畫方向,第一屆的課程環繞著圖像識別任務為主,在接收到第一屆同學們的反饋後,提到不少關於疫情時代的AI應用,由於第二班的原本規畫是基於人臉相關任務,所以我們就將內容針對疫情應用做了蠻大幅度的調整,同時之前是一周兩次直播,同學們反應實作來不及,我們也將課程改為一週一次,這樣大家有更充裕時間可以練習。這次預計納入的疫情AI應用如下:
實作一: 我的虛擬人物(Avatar)
實作二: 口罩人臉檢測
實作三: 社交距離量測
實作四: 虛擬背景
實作五: 口罩人臉識別
實作六: Northeastern SMILE Lab - Recognizing Faces in the Wild 人臉親緣鑑定kaggle競賽
實作七: Challenges in Representation Learning: Facial Expression Recognition Challenge人臉表情識別kaggle競賽
實作八: Deepfake Detection Challenge假人臉檢測kaggle競賽
報名網址
https://www.cisanet.org.tw/News/activity_more?id=MjY1MQ==
「facial expression recognition」的推薦目錄:
- 關於facial expression recognition 在 DeepBelief.ai 深度學習 Facebook 的精選貼文
- 關於facial expression recognition 在 3S Markets「全球科技智慧應用」市場資訊網 Facebook 的精選貼文
- 關於facial expression recognition 在 Janiqueel Facebook 的最佳解答
- 關於facial expression recognition 在 Tensorflow js face landmark detection github - Maisons ... 的評價
- 關於facial expression recognition 在 Mmi dataset github - Marina Inmobiliaria 的評價
facial expression recognition 在 3S Markets「全球科技智慧應用」市場資訊網 Facebook 的精選貼文
人臉表情辨識 (facial expression recognition, FER) 作為人臉辨識技術中的一個重要組成部分,近年來在人機交互、安全、機器人製造、自動化、醫療、通信和駕駛領域,得到了廣泛的關注,成為學術界和工業界的研究熱點。本文將對人臉辨識中的表情辨識的相關內容,做一個較為詳細的綜述⋯⋯
facial expression recognition 在 Janiqueel Facebook 的最佳解答
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facial expression recognition 在 Mmi dataset github - Marina Inmobiliaria 的推薦與評價
Facial Motion Prior Networks for Facial Expression Recognition. pdf The yes-and principle is a rule-of-thumb of improvisational theatre that suggests that a ... ... <看更多>
facial expression recognition 在 Tensorflow js face landmark detection github - Maisons ... 的推薦與評價
Facial landmark detection is the task of detecting key landmarks on the face and ... It supports Face Detection, Face Recognition, Face Expression, Age, ... ... <看更多>