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Implicit Feature Pyramid Network for Object Detection

Implicit Feature Pyramid Network for Object Detection

25 December 2020
Tiancai Wang
Xinming Zhang
Jian Sun
    ObjD
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Papers citing "Implicit Feature Pyramid Network for Object Detection"

50 / 50 papers shown
Title
BorderDet: Border Feature for Dense Object Detection
BorderDet: Border Feature for Dense Object Detection
Han Qiu
Yuchen Ma
Zeming Li
Songtao Liu
Jian Sun
ObjD
131
125
0
21 Jul 2020
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
Kang-jik Kim
Hee Seok Lee
145
395
0
16 Jul 2020
AutoAssign: Differentiable Label Assignment for Dense Object Detection
AutoAssign: Differentiable Label Assignment for Dense Object Detection
Benjin Zhu
Jianfeng Wang
Zhengkai Jiang
Fuhang Zong
Songtao Liu
Zeming Li
Jian Sun
57
222
0
07 Jul 2020
Multiscale Deep Equilibrium Models
Multiscale Deep Equilibrium Models
Shaojie Bai
V. Koltun
J. Zico Kolter
BDL
80
211
0
15 Jun 2020
DetectoRS: Detecting Objects with Recursive Feature Pyramid and
  Switchable Atrous Convolution
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Siyuan Qiao
Liang-Chieh Chen
Alan Yuille
ObjD
70
767
0
03 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
385
13,035
0
26 May 2020
Scale-Equalizing Pyramid Convolution for Object Detection
Scale-Equalizing Pyramid Convolution for Object Detection
Xinjiang Wang
Shilong Zhang
Zhuoran Yu
Xue Jiang
Wayne Zhang
56
96
0
06 May 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
161
12,268
0
23 Apr 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
219
2,623
0
26 Mar 2020
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
154
1,545
0
05 Dec 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
99
5,048
0
20 Nov 2019
CBNet: A Novel Composite Backbone Network Architecture for Object
  Detection
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
Yudong Liu
Yongtao Wang
Siwei Wang
Tingting Liang
Qijie Zhao
Zhi Tang
Haibin Ling
ObjD
253
246
0
09 Sep 2019
FreeAnchor: Learning to Match Anchors for Visual Object Detection
FreeAnchor: Learning to Match Anchors for Visual Object Detection
Xiaosong Zhang
Fang Wan
Chang-rui Liu
Rongrong Ji
QiXiang Ye
ObjD
48
262
0
05 Sep 2019
Deep Equilibrium Models
Deep Equilibrium Models
Shaojie Bai
J. Zico Kolter
V. Koltun
92
665
0
03 Sep 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
390
3,613
0
20 Aug 2019
Implicit Deep Learning
Implicit Deep Learning
L. Ghaoui
Fangda Gu
Bertrand Travacca
Armin Askari
Alicia Y. Tsai
AI4CE
56
179
0
17 Aug 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
139
18,115
0
28 May 2019
RepPoints: Point Set Representation for Object Detection
RepPoints: Point Set Representation for Object Detection
Ze Yang
Shaohui Liu
Han Hu
Liwei Wang
Stephen Lin
3DPC
99
869
0
25 Apr 2019
CenterNet: Keypoint Triplets for Object Detection
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan
S. Bai
Lingxi Xie
H. Qi
Qingming Huang
Q. Tian
NoLa
119
2,693
0
17 Apr 2019
Objects as Points
Objects as Points
Xingyi Zhou
Dequan Wang
Philipp Krahenbuhl
3DPC
107
3,255
0
16 Apr 2019
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object
  Detection
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi
Nayeon Lee
Ruoming Pang
Quoc V. Le
ObjD
72
1,394
0
16 Apr 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
126
5,007
0
02 Apr 2019
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Chenchen Zhu
Yihui He
Marios Savvides
ObjD
71
797
0
02 Mar 2019
Bottom-up Object Detection by Grouping Extreme and Center Points
Bottom-up Object Detection by Grouping Extreme and Center Points
Xingyi Zhou
Jiacheng Zhuo
Philipp Krahenbuhl
ObjD
116
865
0
23 Jan 2019
Scale-Aware Trident Networks for Object Detection
Scale-Aware Trident Networks for Object Detection
Yanghao Li
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
ObjD
81
884
0
07 Jan 2019
Trellis Networks for Sequence Modeling
Trellis Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
56
146
0
15 Oct 2018
CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
Jia Deng
ObjD
69
3,617
0
03 Aug 2018
Recurrent Stacking of Layers for Compact Neural Machine Translation
  Models
Recurrent Stacking of Layers for Compact Neural Machine Translation Models
Raj Dabre
Atsushi Fujita
57
60
0
14 Jul 2018
Universal Transformers
Universal Transformers
Mostafa Dehghani
Stephan Gouws
Oriol Vinyals
Jakob Uszkoreit
Lukasz Kaiser
83
752
0
10 Jul 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
411
5,103
0
19 Jun 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
228
3,654
0
22 Mar 2018
Reviving and Improving Recurrent Back-Propagation
Reviving and Improving Recurrent Back-Propagation
Renjie Liao
Yuwen Xiong
Ethan Fetaya
Lisa Zhang
Kijung Yoon
Xaq Pitkow
R. Urtasun
R. Zemel
BDL
72
120
0
16 Mar 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISeg
SSeg
99
5,753
0
05 Mar 2018
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
138
4,926
0
03 Dec 2017
An Analysis of Scale Invariance in Object Detection - SNIP
An Analysis of Scale Invariance in Object Detection - SNIP
Bharat Singh
L. Davis
ObjD
95
741
0
22 Nov 2017
Receptive Field Block Net for Accurate and Fast Object Detection
Receptive Field Block Net for Accurate and Fast Object Detection
Songtao Liu
Di Huang
Yunhong Wang
ObjD
69
1,265
0
21 Nov 2017
Stable Architectures for Deep Neural Networks
Stable Architectures for Deep Neural Networks
E. Haber
Lars Ruthotto
145
728
0
09 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,181
0
20 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
468
22,102
0
09 Dec 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
174
5,640
0
20 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,182
0
16 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
192
1,941
0
25 Feb 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
180
1,650
0
16 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
229
29,816
0
08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
697
36,935
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
502
62,270
0
04 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.7K
39,525
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
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