Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism - 代码天地

Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism

企业开发 2023-07-28 21:55:16 阅读次数: 0

NoSuchKey

猜你喜欢

转载自blog.csdn.net/qq_52302919/article/details/129871991

Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism

The Loss of Bounding Box Regression

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

【GIoU】《Generalized Intersection over Union：A Metric and A Loss for Bounding Box Regression》

【目标检测】AAAI20 - 提升边界框回归《Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression》

Bounding Box Regression

bounding box regression讲解

对Bounding-Box regression的理解

Single Bounding Box Regression（转载）

bounding box regression in detection model

[CVPR2019]Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

感知算法论文（八）：Generalized Intersection over Union：A Metric and A Loss for Bounding Box Regression（2019）

边框回归(Bounding Box Regression)详解

【Faster RCNN 】bounding box regression详解

理解边框回归(Bounding Box Regression)

Bounding Box Regression with Uncertainty for Accurate Object Detection

[转载]边框回归(Bounding Box Regression)

什么是边框回归Bounding-Box Regression？

边界框回归 Bounding-Box Regression

计算机视觉算法整理（一）：Faster RCNN，bounding box regression，IOU，GIOU

【边框回归】边框回归(Bounding Box Regression)详解（转）

Bounding Box Regression的label为什么设计成对数形式

深度学习之边框回归(Bounding Box Regression)详解

目标检测Bounding_Box_Regression_With_Uncertainty_for_Accurate_Object_Detection

目标检测算法中的bounding box regression

两个Bounding Box的IOU计算代码

卷积神经网络物体检测---边框回归(Bounding Box Regression)详解

Faster RCNN原理篇（一）——Bounding-Box Regression边界框回归的学习和理解

【论文理解】R-CNN 之预测框回归（Bounding box regression）问题详述

bounding box的提取

今日推荐

周排行

TryParse的使用方法小结

Android之高仿手机QQ聊天

关于在java中关键字private能否用来修饰类的问题

去雾算法总结

前端面试题：事件防抖，函数节流，事件防抖和函数节流的区别

随堂小测

【OpenCV + Python】归一化函数cv2.normalize()的原理讲解

05: redis 主从复制

python3-基础5

持续更新-使用 Maven Module 搭建spring boot项目（整合Spring Security、Spring Social、spring OAuth）第一篇

每日归档

更多

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)

2025-03-12(0)

2025-03-11(0)

2025-03-10(0)

2025-03-09(0)