Long-tailed recognition學習目錄

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為何稱為Long-tailed recognition?在日常生活中,很多的資料分布都遵循長尾分布。同樣地,在電腦視覺中的dataset也會出現這樣的分布情形。例如某些類別的圖片很多,某些類別的圖片特別少。這樣的情形會造成在圖片較少的類別上,辨識準確度較差的情形產生。Long-tailed recognition的研究旨在減緩dataset不平衡所造成的問題。

20210218更新:A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection

主要想法是使用Object-Centric的圖片進行資料增強,進而提升偵測結果,實驗結果看起來是目前常見方法中最佳的,優於Balanced Meta-softmax

Machine Learning / Deep Learning / Python / Flutter cakeresume.com/yanwei-liu

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