AdaScale: Towards real-time video object detection using adaptive scaling 2019-02-18 16:14:17 Paper: https://www.sysml.cc/papers.html 本文提出一种新的技术,AdaScale,来改善视频中物体检测的尺度问题,在提升速度的同时,改善了精度. 作者的实验发现在降低图像分辨率的时候,部分图像的识别精度就会得到改善,并且给出了结果展示: 那么是什么原因导致这种情况呢?作者给…

先说一下,我觉得近两年最好的工作吧.其他的,我就不介绍了,因为我懂得少. 微软的jifeng dai的工作. Deep Feature Flow   github: https://github.com/msracver/Deep-Feature-Flow Flow-guided Feature Aggregation.  Flow-Guided Feature Aggregation for Video Object Detection   github: https://github.com…

摘要 目前检测的准确率受物体视频中变化的影响,如运动模糊,镜头失焦等.现有工作是想要在框的级别上寻找时序信息,但这样的方法通常不能端到端训练.我们提出了flow-guided feature aggregation,一个用于视频物体检测的端到端学习框架.在特征级别上利用时序信息,通过相邻帧的运动路径提高每帧的特征,从而提高检测的准确率. 简介 特征提取网络提取出每帧的feature maps.为了enhance被处理帧的特征,用一个光流网络(flownet)预测相邻帧和该帧之间的motions.…

本文由DataFun社区根据微软亚洲研究院视觉组Lead Researcher Jifeng Dai老师在2018 AI先行者大会中分享的<Recent Advances on Object Detection in MSRA>编辑整理而成. 今天分享的内容会从以下几个方面进行,首先是R-FCN and its extensions,然后是Deformable Conv Nets and its extensions,接着是我们在Video object detection方面所做的工作,最后…

DECOLOR: Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation Xiaowei Zhou et al. Abstract—Object detection is a fundamental step for automated video analysis in many vision applications. Object detection in a video…

Motion Detection or Moving Object Detection 称之为运动侦测,移动侦测,移动检测 MOD全称为Moving Object Detection,中文“移动物体检测”.主要的作用是泊车时,周围有人或物体经过探测区域被检测到给驾驶员声音和视觉提醒,移动物体会被黄框标示,提醒驾驶员注意.被检测到的物体必须是移动物的,它检测不到静止的物体     方法有哪些? 帧差分法(frame differencing)   Frame differencing is a t…

Autonomous driving - Car detection Welcome to your week 3 programming assignment. You will learn about object detection using the very powerful YOLO model. Many of the ideas in this notebook are described in the two YOLO papers: Redmon et al., 2016 (…

Awesome Object Detection 2018-08-10 09:30:40 This blog is copied from: https://github.com/amusi/awesome-object-detection This is a list of awesome articles about object detection. R-CNN Fast R-CNN Faster R-CNN Light-Head R-CNN Cascade R-CNN SPP-Net Y…

Click here to download the source code to this post. In this tutorial, you’ll learn how to use the YOLO object detector to detect objects in both images and video streams using Deep Learning, OpenCV, and Python. By applying object detection, you’ll n…

温故知新 focal loss for dense object detection,知乎上一人的评论很经典.hard negative sampling, 就是只挑出来男神(还是最难追的),而focal loss把男神拉出来的同时,还把备胎都拉出来,同时还按照颜值排个序…… 太有才了……理工科人也有幽默感的! video detection, track to detect and detect to track, neural networks tricks of the trade,觉得我…