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Making Convolutional Networks Shift-Invariant Again
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2019
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Richard Zhang
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2
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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2
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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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2014
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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1
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Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
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2016
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Sean Bell
C. Lawrence Zitnick
Kavita Bala
Ross Girshick
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1
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R-FCN: Object Detection via Region-based Fully Convolutional Networks
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2016
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Jifeng Dai
Li Yi
Kaiming He
Jian Sun
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S3Pool: Pooling with Stochastic Spatial Sampling
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2017
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Shuangfei Zhai
Hui Wu
Abhishek Kumar
Yu Cheng
Yongxi Lu
Zhongfei Zhang
Rogério Feris
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1
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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1
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YOLO9000: Better, Faster, Stronger
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2017
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Joseph Redmon
Ali Farhadi
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1
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DSSD : Deconvolutional Single Shot Detector
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2017
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Cheng-Yang Fu
Wei Liu
Ananth Ranga
Ambrish Tyagi
Alexander C. Berg
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1
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Deformable Convolutional Networks
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2017
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Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
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1
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Scaling the Scattering Transform: Deep Hybrid Networks
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2017
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Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
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1
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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2017
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Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
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1
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An Analysis of Scale Invariance in Object Detection - SNIP
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2018
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Bharat Singh
Larry S. Davis
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1
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Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection
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2018
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Xiongwei Wu
Daoxin Zhang
Jianke Zhu
Steven C. H. Hoi
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1
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YOLOv3: An Incremental Improvement.
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2018
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Joseph Redmon
Ali Farhadi
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1
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Detail-Preserving Pooling in Deep Networks
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2018
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Faraz Saeedan
Nicolas Weber
Michael Goesele
Stefan Roth
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1
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CFENet: An Accurate and Efficient Single-Shot Object Detector for Autonomous Driving
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2018
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Qijie Zhao
Tao Sheng
Yongtao Wang
Feng Ni
Ling Cai
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1
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M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network
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2019
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Qijie Zhao
Tao Sheng
Yongtao Wang
Zhi Tang
Ying Chen
Ling Cai
Haibin Ling
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1
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Augmentation for small object detection
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2019
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Máté Kisantal
Zbigniew Wojna
Jakub Murawski
Jacek Naruniec
Kyunghyun Cho
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1
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NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
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2019
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Golnaz Ghiasi
Tsung-Yi Lin
Ruoming Pang
Quoc V. Le
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1
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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2019
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Mingxing Tan
Quoc V. Le
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1
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The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
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2018
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Dawei Du
Yuankai Qi
Hongyang Yu
Yifan Yang
Kaiwen Duan
Guorong Li
Weigang Zhang
Qingming Huang
Qi Tian
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1
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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1
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Large Receptive Field Networks for High-Scale Image Super-Resolution
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2018
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George Seif
Dimitrios Androutsos
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1
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RON: Reverse Connection with Objectness Prior Networks for Object Detection
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2017
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Tao Kong
Fuchun Sun
Anbang Yao
Huaping Liu
Ming Lu
Yurong Chen
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1
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i-RevNet: Deep Invertible Networks
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2018
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Jörn-Henrik Jacobsen
Arnold Smeulders
Edouard Oyallon
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1
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HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
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2016
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Tao Kong
Anbang Yao
Yurong Chen
Fuchun Sun
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You Only Look Once: Unified, Real-Time Object Detection
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2016
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Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
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1
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Enhancement of SSD by concatenating feature maps for object detection
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2017
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Jisoo Jeong
Hyojin Park
Nojun Kwak
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1
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CoupleNet: Coupling Global Structure with Local Parts for Object Detection
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2017
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Yousong Zhu
Chaoyang Zhao
Jinqiao Wang
Xu Zhao
Yi Wu
Hanqing Lu
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1
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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2018
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Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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2018
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Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
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1
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Feature Selective Anchor-Free Module for Single-Shot Object Detection
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2019
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Chenchen Zhu
Yihui He
Marios Savvides
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1
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Pelee: A Real-Time Object Detection System on Mobile Devices
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2018
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Robert J. Wang
Xiang Li
Charles X. Ling
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1
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Focal Loss for Dense Object Detection
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2017
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
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1
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Striving for Simplicity: The All Convolutional Net
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2014
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Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
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1
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Improving Object Localization with Fitness NMS and Bounded IoU Loss
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2018
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Lachlan Tychsen-Smith
Lars Petersson
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1
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Squeeze-and-Excitation Networks
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2019
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Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
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1
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Densely Connected Convolutional Networks
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2017
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Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
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1
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Training Region-Based Object Detectors with Online Hard Example Mining
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2016
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Abhinav Shrivastava
Abhinav Gupta
Ross Girshick
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1
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OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
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2014
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Pierre Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
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Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
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2013
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Matthew D. Zeiler
Rob Fergus
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Receptive Field Block Net for Accurate and Fast Object Detection
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2018
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Songtao Liu
Di Huang
Yunhong Wang
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1
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Single-Shot Refinement Neural Network for Object Detection
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2018
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Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
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Path Aggregation Network for Instance Segmentation
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2018
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Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
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1
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Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
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2015
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Chen‐Yu Lee
Patrick W. Gallagher
Zhuowen Tu
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1
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Cascade R-CNN: Delving Into High Quality Object Detection
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2018
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Zhaowei Cai
Nuno Vasconcelos
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1
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NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
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2019
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Golnaz Ghiasi
Tsung-Yi Lin
Quoc V. Le
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1
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ME R-CNN: Multi-Expert R-CNN for Object Detection
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2019
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Hyungtae Lee
Sungmin Eum
Heesung Kwon
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1
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FCOS: Fully Convolutional One-Stage Object Detection
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2019
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Zhi Tian
Chunhua Shen
Hao Chen
Tong He
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1
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