Methods > Computer Vision > Feature Extractors

Feature Pyramid Network

Introduced by Lin et al. in Feature Pyramid Networks for Object Detection

A Feature Pyramid Network, or FPN, is a feature extractor that takes a single-scale image of an arbitrary size as input, and outputs proportionally sized feature maps at multiple levels, in a fully convolutional fashion. This process is independent of the backbone convolutional architectures. It therefore acts as a generic solution for building feature pyramids inside deep convolutional networks to be used in tasks like object detection.

The construction of the pyramid involves a bottom-up pathway and a top-down pathway.

The bottom-up pathway is the feedforward computation of the backbone ConvNet, which computes a feature hierarchy consisting of feature maps at several scales with a scaling step of 2. For the feature pyramid, one pyramid level is defined for each stage. The output of the last layer of each stage is used as a reference set of feature maps. For ResNets we use the feature activations output by each stage’s last residual block.

The top-down pathway hallucinates higher resolution features by upsampling spatially coarser, but semantically stronger, feature maps from higher pyramid levels. These features are then enhanced with features from the bottom-up pathway via lateral connections. Each lateral connection merges feature maps of the same spatial size from the bottom-up pathway and the top-down pathway. The bottom-up feature map is of lower-level semantics, but its activations are more accurately localized as it was subsampled fewer times.

Source: Feature Pyramid Networks for Object Detection

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| Jingru YiPengxiang WuDimitris N. Metaxas
2019-09-27
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
Shifeng ZhangYiliang XieJun WanHansheng XiaStan Z. LiGuodong Guo
2019-09-25
Synthetic dataset generation for object-to-model deep learning in industrial applications
| Matthew Z. WongKiyohito KuniiMax BaylisWai Hong OngPavel KroupaSwen Koller
2019-09-24
Road Damage Detection Acquisition System based on Deep Neural Networks for Physical Asset Management
A. A. AnguloJ. A. Vega-FernándezL. M. Aguilar-LoboS. NatrajG Ochoa-Ruiz
2019-09-19
STELA: A Real-Time Scene Text Detector with Learned Anchor
| Linjie DengYanxiang GongXinchen LuYi LinZheng MaMei Xie
2019-09-17
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
Yosuke ShinyaEdgar Simo-SerraTaiji Suzuki
2019-09-09
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
| Yudong LiuYongtao WangSiwei WangTing-Ting LiangQijie ZhaoZhi TangHaibin Ling
2019-09-09
Aerial multi-object tracking by detection using deep association networks
Ajit JadhavPrerana MukherjeeVinay KaushikBrejesh lall
2019-09-04
Fast and Efficient Model for Real-Time Tiger Detection In The Wild
| Orest KupynDmitry Pranchuk
2019-09-03
Multi-Modal Fusion for End-to-End RGB-T Tracking
| Lichao ZhangMartin DanelljanAbel Gonzalez-GarciaJoost Van de WeijerFahad Shahbaz Khan
2019-08-30
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
| Hao-Shu FangJianhua SunRunzhong WangMinghao GouYong-Lu LiCewu Lu
2019-08-21
Instance Scale Normalization for image understanding
Zewen HeHe HuangYudong WuGuan HuangWensheng Zhang
2019-08-20
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
| Kaixin WangJun Hao LiewYingtian ZouDaquan ZhouJiashi Feng
2019-08-18
Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
Hao YangHao WuHao Chen
2019-08-14
LIP: Local Importance-based Pooling
| Ziteng GaoLi-Min WangGangshan Wu
2019-08-12
Attentive Normalization
| Xilai LiWei SunTianfu Wu
2019-08-04
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection
Jin Hyeok YooDongsuk KumJun Won Choi
2019-08-01
DR Loss: Improving Object Detection by Distributional Ranking
| Qi QianLei ChenHao LiRong Jin
2019-07-23
Compact Global Descriptor for Neural Networks
| Xiangyu HeKe ChengQiang ChenQinghao HuPeisong WangJian Cheng
2019-07-23
Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence
Sihong ChenWeiping YuKai MaXinlong SunXiaona LinDesheng SunYefeng Zheng
2019-07-16
Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
Hongkai ZhangHong ChangBingpeng MaShiguang ShanXilin Chen
2019-07-16
Learning Data Augmentation Strategies for Object Detection
| Barret ZophEkin D. CubukGolnaz GhiasiTsung-Yi LinJonathon ShlensQuoc V. Le
2019-06-26
Pattern Spotting in Historical Documents Using Convolutional Models
Ignacio ÚbedaJose M. SaavedraStéphane NicolasCaroline PetitjeanLaurent Heutte
2019-06-20
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things
Cheng-Yang FuTamara L. BergAlexander C. Berg
2019-06-15
Stand-Alone Self-Attention in Vision Models
| Prajit RamachandranNiki ParmarAshish VaswaniIrwan BelloAnselm LevskayaJonathon Shlens
2019-06-13
NAS-FCOS: Fast Neural Architecture Search for Object Detection
| Ning WangYang GaoHao ChenPeng WangZhi TianChunhua ShenYanning Zhang
2019-06-11
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
| Martin ZlochaQi DouBen Glocker
2019-06-05
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching
| Hao WangQilong WangFan YangWeiqi ZhangWangMeng Zuo
2019-06-02
Group Sampling for Scale Invariant Face Detection
Xiang Ming Fangyun Wei Ting Zhang Dong Chen Fang Wen
2019-06-01
Fully Quantized Network for Object Detection
Rundong Li Yan Wang Feng Liang Hongwei Qin Junjie Yan Rui Fan
2019-06-01
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
| Syed Waqas ZamirAditya AroraAkshita GuptaSalman KhanGuolei SunFahad Shahbaz KhanFan ZhuLing ShaoGui-Song XiaXiang Bai
2019-05-30
Light-Weight RetinaNet for Object Detection
| Yixing LiFengbo Ren
2019-05-24
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
| Xiang LiXiaolin HuJian Yang
2019-05-23
Accurate Face Detection for High Performance
Faen ZhangXinyu FanGuo AiJianfei SongYongqiang QinJia-Hong Wu
2019-05-05
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
| Yue CaoJiarui XuStephen LinFangyun WeiHan Hu
2019-04-25
RepPoints: Point Set Representation for Object Detection
| Ze YangShaohui LiuHan HuLi-Wei WangStephen Lin
2019-04-25
Attention Augmented Convolutional Networks
| Irwan BelloBarret ZophAshish VaswaniJonathon ShlensQuoc V. Le
2019-04-22
Single Pixel Reconstruction for One-stage Instance Segmentation
Jun YuJinghan YaoJian ZhangZhou YuDaCheng Tao
2019-04-16
Rethinking Classification and Localization for Object Detection
| Yue WuYinpeng ChenLu YuanZicheng LiuLijuan WangHongzhi LiYun Fu
2019-04-13
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
Yona Falinie A. GausNeelanjan BhowmikSamet AkçayPaolo M. Guillen-GarciaJack W. BarkerToby P. Breckon
2019-04-10
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Songtao LiuDi HuangYunhong Wang
2019-04-07
Libra R-CNN: Towards Balanced Learning for Object Detection
| Jiangmiao PangKai ChenJianping ShiHuajun FengWanli OuyangDahua Lin
2019-04-04
FCOS: Fully Convolutional One-Stage Object Detection
| Zhi TianChunhua ShenHao ChenTong He
2019-04-02
Feature Intertwiner for Object Detection
| Hongyang LiBo DaiShaoshuai ShiWanli OuyangXiaogang Wang
2019-03-28
DetNAS: Backbone Search for Object Detection
| Yukang ChenTong YangXiangyu ZhangGaofeng MengXinyu XiaoJian Sun
2019-03-26
Feature Selective Anchor-Free Module for Single-Shot Object Detection
| Chenchen ZhuYihui HeMarios Savvides
2019-03-02
Mask Scoring R-CNN
| Zhaojin HuangLichao HuangYongchao GongChang HuangXinggang Wang
2019-03-01
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge
Md Ashraful Alam Milton
2019-02-04
Hybrid Task Cascade for Instance Segmentation
| Kai ChenJiangmiao PangJiaqi WangYu XiongXiaoxiao LiShuyang SunWansen FengZiwei LiuJianping ShiWanli OuyangChen Change LoyDahua Lin
2019-01-22
Consistent Optimization for Single-Shot Object Detection
Tao KongFuchun SunHuaping LiuYuning JiangJianbo Shi
2019-01-19
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
| Cheng-Yang FuMykhailo ShvetsAlexander C. Berg
2019-01-10
Region Proposal by Guided Anchoring
| Jiaqi WangKai ChenShuo YangChen Change LoyDahua Lin
2019-01-10
Panoptic Feature Pyramid Networks
| Alexander KirillovRoss GirshickKaiming HePiotr Dollár
2019-01-08
AutoFocus: Efficient Multi-Scale Inference
| Mahyar NajibiBharat SinghLarry S. Davis
2018-12-04
Grid R-CNN
| Xin LuBuyu LiYuxin YueQuanquan LiJunjie Yan
2018-11-29
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection
Hongyu XuXutao LvXiaoyu WangZhou RenNavaneeth BodlaRama Chellappa
2018-11-28
Scene Text Detection with Supervised Pyramid Context Network
| Enze XieYuhang ZangShuai ShaoGang YuCong YaoGuangyao Li
2018-11-21
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
Wanxin TianZixuan WangHaifeng ShenWeihong DengYiping MengBinghui ChenXiubao ZhangYuan ZhaoXiehe Huang
2018-11-20
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
| Qijie ZhaoTao ShengYongtao WangZhi TangYing ChenLing CaiHaibin Ling
2018-11-12
Biologically-plausible learning algorithms can scale to large datasets
| Will XiaoHonglin ChenQianli LiaoTomaso Poggio
2018-11-08
DropBlock: A regularization method for convolutional networks
| Golnaz GhiasiTsung-Yi LinQuoc V. Le
2018-10-30
Salience Biased Loss for Object Detection in Aerial Images
Peng SunGuang ChenGuerdan LukeYi Shang
2018-10-18
Object Detection from Scratch with Deep Supervision
| Zhiqiang ShenZhuang LiuJianguo LiYu-Gang JiangYurong Chenxiangyang xue
2018-09-25
DetNet: Design Backbone for Object Detection
Zeming LiChao PengGang YuXiangyu ZhangYangdong DengJian Sun
2018-09-01
Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV
Xiaoliang WangPeng ChengXinchuan LiuBenedict Uzochukwu
2018-08-16
Acquisition of Localization Confidence for Accurate Object Detection
| Borui JiangRuixuan LuoJiayuan MaoTete XiaoYuning Jiang
2018-07-30
MetaAnchor: Learning to Detect Objects with Customized Anchors
Tong YangXiangyu ZhangZeming LiWenqiang ZhangJian Sun
2018-07-03
DetNet: A Backbone network for Object Detection
| Zeming LiChao PengGang YuXiangyu ZhangYangdong DengJian Sun
2018-04-17
Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy
Guanglu SongYu LiuMing JiangYujie WangJunjie YanBiao Leng
2018-04-14
YOLOv3: An Incremental Improvement
| Joseph RedmonAli Farhadi
2018-04-08
Group Normalization
| Yuxin WuKaiming He
2018-03-22
Path Aggregation Network for Instance Segmentation
| Shu LiuLu QiHaifang QinJianping ShiJiaya Jia
2018-03-05
Focal Loss Dense Detector for Vehicle Surveillance
Xiaoliang WangPeng ChengXinchuan LiuBenedict Uzochukwu
2018-03-03
Data Distillation: Towards Omni-Supervised Learning
| Ilija RadosavovicPiotr DollárRoss GirshickGeorgia GkioxariKaiming He
2017-12-12
Cascade R-CNN: Delving into High Quality Object Detection
| Zhaowei CaiNuno Vasconcelos
2017-12-03
MegDet: A Large Mini-Batch Object Detector
| Chao PengTete XiaoZeming LiYuning JiangXiangyu ZhangKai JiaGang YuJian Sun
2017-11-20
ChainerCV: a Library for Deep Learning in Computer Vision
| Yusuke NiitaniToru OgawaShunta SaitoMasaki Saito
2017-08-28
Focal Loss for Dense Object Detection
| Tsung-Yi LinPriya GoyalRoss GirshickKaiming HePiotr Dollár
2017-08-07
Feature Pyramid Networks for Object Detection
| Tsung-Yi LinPiotr DollárRoss GirshickKaiming HeBharath HariharanSerge Belongie
2016-12-09

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