Feature Selective Anchor-Free Module for Single-Shot Object Detection 机器学习 提出了一种简单有效的单阶段目标检测模块——特征选择无锚定(FSAF)模块。它可以插入到具有特征金字塔结构的单阶段检测器中。FSAF模块解决了传统基于锚点检测的两个局限性:1)启发式引导的特征选择;2)基于覆盖锚取样。FSAF模块的总体思想...
In this paper, we propose a light but effective balanced single-shot object detection framework using Cross-context Attention-guided Network (CCAGNet), to drive the model to focus on appealing regions of interest adaptively. CCAGNet consists of three different attention mechanisms, as shown in Fig...
[CVPR2019]:FSAF for Single-Shot Object Detection 论文链接:Feature Selective Anchor-Free Module for Single-Shot Object Detection CVPR2019的一篇single-stage detection的文章,来自CMU。 【Motivation】 目标检测中物体尺度问题一直是个难解决的问题,目前为止主要是从网络结构设计、损失函数、训练方式等方面去缓解尺度...
Feature Selective Anchor-Free Module for Single-Shot Object Detection 机器学习 提出了一种简单有效的单阶段目标检测模块——特征选择无锚定(FSAF)模块。它可以插入到具有特征金字塔结构的单阶段检测器中。FSAF模块解决了传统基于锚点检测的两个局限性:1)启发式引导的特征选择;2)基于覆盖锚取样。FSAF模块的总体思想...
深度学习论文:Learning Spatial Fusion for Single-Shot Object Detection及其PyTorch实现 https://github.com/shanglianlm0525/PyTorch-Networks 1 概述 本文提出了一种新的数据驱动的自适应空间特征融合(ASFF)金字塔特征融合方式, 通过学习空间上的过滤冲突信息以抑制梯度反传的时候不一致的方法,从而改善了...
Single-shot Object Detection 以下转自:http://lanbing510.info/2017/08/28/YOLO-SSD.html 在深度学习出现之前,传统的目标检测方法大概分为区域选择(滑窗)、特征提取(SIFT、HOG等)、分类器(SVM、Adaboost等)三个部分,其主要问题有两方面:一方面滑窗选择策略没有针对性、时间复杂度高,窗口冗余;另一方面手工设计...
In today's scenario, the fastest algorithm which uses a single layer of convolutional network to detect the objects from the image is single shot multi-box detector (SSD) algorithm. This paper studies object detection techniques to detect objects in real time on any device running the proposed ...
NVIDIA® cuDNN and TensorRT libraries. An SSD network is based on a feed-forward convolutional neural network that detect multiple objects within the image in a single shot. SSD network can be thought of as having two sub-networks. A feature extraction network, followed by a detecti...
0 基本信息标题:Feature Selective Anchor-Free Module for Single-Shot Object Detection 作者:Chenchen Zhu,Yihui He,Marios Savvides 机构:Carnegie Mellon University 来源:CVPR2019 时间:2019/03/02 …
Learning Rich Features at High-Speed for Single-Shot Object Detection, ICCV, 2019 pytorchpyramidobject-detectionsingle-shot-detection UpdatedDec 10, 2019 Python lars76/chinese-subtitle-ocr Star110 Code Issues Pull requests Optical character recognition for Chinese subtitles using SSD and CNN ...