地址:https://arxiv.org/abs/2006.04388 github:https://github.com/implus/GFocal 講解:https://zhuanlan.zh ...
目錄 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection 一. 論文簡介 將目標檢測Loss ...
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地址:https://arxiv.org/abs/2006.04388 github:https://github.com/implus/GFocal 講解:https://zhuanlan.zh ...
Focal Loss for Dense Object Detection Intro 這又是一篇與何凱明大神有關的作品,文章主要解決了one-stage網絡識別率普遍低於two-stage網絡的問題,其指出其根本原因是樣本類別不均衡導致,一針見血,通過改變傳統的loss(CE)變為focal ...
轉自:https://www.jianshu.com/p/db4ccd194109 ...
論文原址:https://arxiv.org/abs/1708.02002 github代碼:https://github.com/fizyr/keras-retinanet 摘要 ...
論文地址:Generalized Intersection over Union 一、相關工作 目標檢測精度標准 度量檢測優劣基本基於 IOU,mAP 是典型的基於 IOU 的標准,但是 mAP 僅有一個 threshold,對於過了線的預測框一視同仁,不能進一步衡量其優劣,所以 MS ...
地址:https://arxiv.org/pdf/2007.03282.pdf ...
/Yemiekai/article/details/117839686 文章標題:《Weighted Boxes ...
論文原址:https://arxiv.org/pdf/1902.09630.pdf github:https://github.com/generalized-iou 摘要 在目標檢測的評測體系中,IoU是最流行的評價准則。然而,在對邊界框的參數進行優化時,常用到距離 ...