few-shot-learning for object detection

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deep learning on object detection

回归工作一周,忙的头晕,看了两三篇文章,主要在写各种文档和走各种办事流程了-- 这次来写写object detection最近看的三篇文章吧.都不是最近的文章,但是是今年的文章,我也想借此让自己赶快熟悉起来之前的工作. 首先是google的工作,Speed/accuracy trade-offs for modern convolutional object detectors,下载地址:https://arxiv.org/abs/1611.10012. 11月份的工作,文章工作就如标题一样,我…

论文阅读笔记五十三：Libra R-CNN: Towards Balanced Learning for Object Detection(CVPR2019)

论文原址:https://arxiv.org/pdf/1904.02701.pdf github:https://github.com/OceanPang/Libra_R-CNN 摘要相比模型的结构,关注度较少的训练过程对于检测器的成功检测也是十分重要的.本文发现,检测性能主要受限于训练时,sample level,feature level,objective level的不平衡问题.为此,提出了Libra R-CNN,用于对目标检测中平衡学习的简单有效的框架.主要包含三个创新点:(1)Io…

Object detection with deep learning and OpenCV

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（转）Awesome Object Detection

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[Arxiv1706] Few-Example Object Detection with Model Communication 论文笔记

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object detection 总结

1.基础自己对于YOLOV1,2,3都比较熟悉. RCNN也比较熟悉.这个是自己目前掌握的基础2.第一步看一下2019年的井喷的anchor free的网络3.第二步看一下以往,引用多的网路4.第三步看一下,2020最新的,但是在pwcode上面排名靠前的网络 2020优秀论文:EfficientDet: Scalable and Efficient Object Detection,57DetectoRS: Detecting Objects with Recursive Featur…

关于目标检测(Object Detection)的文献整理

本文对CV中目标检测子方向的研究,整理了如下的相关笔记(持续更新中): 1. Cascade R-CNN: Delving into High Quality Object Detection 年份:2018:关键词:Cascade RCNN:引用量:749:推荐指数(1-5):5 描述:一般正常的检测器是用0.5的IOU阈值(用于提出正负样本)训练,但如果提高IOU阈值会降低检测器的表现.这有两个原因: 当训练时,高IOU阈值会减少提出的正样本,引发exponentially vanishin…

论文学习-深度学习目标检测2014至201901综述-Deep Learning for Generic Object Detection A Survey

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课程四(Convolutional Neural Networks)，第三周（Object detection） —— 0.Learning Goals

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论文阅读之: Hierarchical Object Detection with Deep Reinforcement Learning

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