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 在 3S Markets「全球科技智慧應用」市場資訊網 Facebook 的最佳貼文
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 A Survey on Human Face Expression Recognition Techniques 的相關結果
Human Face expression Recognition is one of the most powerful and challenging tasks in social communication. Generally, face expressions are natural and ... ... <看更多>
facial expression recognition 在 Automatic Facial Expression Recognition in Standardized and ... 的相關結果
Emotional facial expressions can inform researchers about an individual's emotional state. Recent technological advances open up new avenues to ... ... <看更多>
facial expression recognition 在 Facial Expression Recognition | Papers With Code 的相關結果
Facial expression recognition is the task of classifying the expressions on face images into various categories such as anger, fear, surprise, sadness, ... ... <看更多>