深度特征融合相关论文（后续更新）

 

 

 

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