FCN：Fully convolutional Networks for Semantic Segmentation — CVPR2015
ResNet：Deep Residual Learning for Image Recognition — CVPR2016
FPN：Feature pyramid networks for object detection — CVPR2017
DenseNet：Densely Connected Convolutional Networks — CVPR2017
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network — AAAI2019
ASFF：Learning Spatial Fusion for Single-Shot Object Detection — arXiv2019，aka yolov3-asff
PANet：Pyramid Attention Networks for Image Restoration — arXiv2020
BiFPN：EfficientDet: Scalable and Efficient Object Detection — CVPR2020
Recursive-FPN：DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution — CVPR2021
无融合，但利用多尺度特征
SSD: Single Shot MultiBox Detector — ECCV2016
特征融合及轻量化
VoVNet：An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection— CVPRW2019
PeleeNet：Pelee: A Real-Time Object Detection System on Mobile Devices — NeurIPS2018
门控融合
Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation — CVPR2017
标签：论文,Shot,后续,Pyramid,Object,融合,Detection,CVPR2017,Networks From： https://www.cnblogs.com/booturbo/p/17364087.html