代码地址:github.com/implus/GFoca 前言:GFLv1文章名:Generalized Focal Loss Learning Qualified and Distributed Bounding Boxes for Dense Object Detection。GFLv1已经很漂亮了,没想到GFLv2能利用分布的统计特征来进行定位质量估计,而且还取得优于卷积特征的效果,感觉作者太强了。 (二)Summary 目前Localization Qualit...
目标检测 - Generalized Focal Loss 基于one-stage检测器无cost涨点 (改进的Focal Loss,优于RetinaNet,FCOS,ATSS等) 目标检测 - Generalized Focal Loss 基于one-stage检测器无cost涨点 (改进的Focal Loss,优于RetinaNet,FCOS,ATSS等)blog.csdn.net/flyfish1986/article/details/110143467 李翔:大白话 Generaliz...
深度学习论文: Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection及其PyTorch实现 PDF: https://arxiv.org/pdf/2011.12885.pdf PyTorch: https://github.com/shanglianlm0525/PyTorch-Networks PyTorch: https://...
参考代码:https://github.com/RangiLyu/nanodet import torchimport torch.nn as nnimport torch.nn.functional as Ffrom .utils import weighted_loss@weighted_lossdef quality_focal_loss(pred, target, beta=2.0):r"""Quality Focal Loss (QFL) is from `Generalized Focal Loss: LearningQualified and Distr...
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021 - xthzhjwzyc/GFocalV2
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection 来自 中国工程科技知识中心 喜欢 0 阅读量: 499 作者:X Li,W Wang,X Hu,J Li,J Tang,J Yang 摘要: Localization Quality Estimation (LQE) is crucial and popular in the recent advancement of dense...
If you find GFocal useful in your research, please consider citing: @article{li2020gflv2, title={Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection}, author={Li, Xiang and Wang, Wenhai and Hu, Xiaolin and Li, Jun and Tang, Jinhui and Yang...
源码和预训练模型地址:https://github.com/implus/GFocalV2 老规矩,还是一句话总结: 本文应该是检测领域首次引入用边界框的不确定性的统计量来高效地指导定位质量估计,从而基本无cost(包括在训练和测试阶段)地提升one-stage的检测器性能,涨幅在1~2个点AP。又是一个超超超良心技术,欢迎各位看官试用~ ...
2019 IoU-balanced Loss Functions 目标检测论文阅读笔记 背景《IoU-balanced Loss Functions for Single-stage Object Detection》是19年arXiv的论文。其实2019 CVPR Libra RCNN提出过IoU balanced sample,两者算法的研究动机不一样,但是实现非… 张凯发表于目标检测 Focal Loss 论文个人理解(2017 CVPR) B1gme 论文里...
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detectionarxiv.org/abs/2011.12885 https://github.com/implus/GFocalV2github.com/implus/GFocalV2 通过...