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Towards Better Object Detection in Scale Variation with Adaptive Feature
  Selection

Towards Better Object Detection in Scale Variation with Adaptive Feature Selection

6 December 2020
Zehui Gong
Dong Li
    ObjD
ArXivPDFHTML

Papers citing "Towards Better Object Detection in Scale Variation with Adaptive Feature Selection"

50 / 51 papers shown
Title
Towards Resolving the Challenge of Long-tail Distribution in UAV Images
  for Object Detection
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
Weiping Yu
Taojiannan Yang
Chong Chen
27
91
0
07 Nov 2020
HRDNet: High-resolution Detection Network for Small Objects
HRDNet: High-resolution Detection Network for Small Objects
Ziming Liu
Guangyu Gao
Lin Sun
Zhiyuan Fang
ObjD
49
104
0
13 Jun 2020
PENet: Object Detection using Points Estimation in Aerial Images
PENet: Object Detection using Points Estimation in Aerial Images
Ziyang Tang
Xiang Liu
Guangyu Shen
B. Yang
3DPC
41
16
0
22 Jan 2020
MnasFPN: Learning Latency-aware Pyramid Architecture for Object
  Detection on Mobile Devices
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices
Bo Chen
Golnaz Ghiasi
Hanxiao Liu
Nayeon Lee
Dmitry Kalenichenko
Hartwig Adam
Quoc V. Le
ObjD
33
53
0
02 Dec 2019
Learning Spatial Fusion for Single-Shot Object Detection
Learning Spatial Fusion for Single-Shot Object Detection
Songtao Liu
Di Huang
Yunhong Wang
ObjD
24
580
0
21 Nov 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
55
4,996
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
240
244
0
09 Sep 2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao
Jiarui Xu
Stephen Lin
Fangyun Wei
Han Hu
ISeg
43
1,561
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
84
2,663
0
17 Apr 2019
Clustered Object Detection in Aerial Images
Clustered Object Detection in Aerial Images
Fan Yang
Heng Fan
Peng Chu
Erik P. Blasch
Haibin Ling
31
275
0
16 Apr 2019
Objects as Points
Objects as Points
Xingyi Zhou
Dequan Wang
Philipp Krahenbuhl
3DPC
68
3,240
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
44
1,389
0
16 Apr 2019
Rethinking Classification and Localization for Object Detection
Rethinking Classification and Localization for Object Detection
Yue Wu
Yinpeng Chen
Lu Yuan
Zicheng Liu
Lijuan Wang
Hongzhi Li
Y. Fu
ObjD
43
510
0
13 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
76
4,969
0
02 Apr 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding
  Box Regression
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
S. Hamid Rezatofighi
Deyuan Li
JunYoung Gwak
Amir Sadeghian
Ian Reid
Silvio Savarese
113
4,114
0
25 Feb 2019
Bag of Freebies for Training Object Detection Neural Networks
Bag of Freebies for Training Object Detection Neural Networks
Zhi-Li Zhang
Tong He
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
VLM
ObjD
32
188
0
11 Feb 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
74
861
0
23 Jan 2019
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
250
1,407
0
04 Dec 2018
M2Det: A Single-Shot Object Detector based on Multi-Level Feature
  Pyramid Network
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Qijie Zhao
Tao Sheng
Yongtao Wang
Zhi Tang
Ying-Cong Chen
Lingyi Cai
Haibin Ling
ObjD
26
793
0
12 Nov 2018
Deep Feature Pyramid Reconfiguration for Object Detection
Deep Feature Pyramid Reconfiguration for Object Detection
Tao Kong
F. Sun
Wen-bing Huang
Huaping Liu
ObjD
68
201
0
24 Aug 2018
CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
Jia Deng
ObjD
42
3,598
0
03 Aug 2018
Learning Short-Cut Connections for Object Counting
Learning Short-Cut Connections for Object Counting
Daniel Oñoro-Rubio
Mathias Niepert
Roberto J. López-Sastre
31
11
0
08 May 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
32
21,306
0
08 Apr 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
77
5,696
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
94
4,885
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
69
738
0
22 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
154
8,867
0
21 Nov 2017
Single-Shot Refinement Neural Network for Object Detection
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
33
1,286
0
18 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
212
9,687
0
25 Oct 2017
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
Sanghyun Woo
Soonmin Hwang
In So Kweon
ObjD
24
87
0
18 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
258
26,241
0
05 Sep 2017
CoupleNet: Coupling Global Structure with Local Parts for Object
  Detection
CoupleNet: Coupling Global Structure with Local Parts for Object Detection
Yousong Zhu
Chaoyang Zhao
Jinqiao Wang
Xu Zhao
Yi Wu
Hanqing Lu
ObjD
49
253
0
09 Aug 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
227
27,018
0
20 Mar 2017
DSSD : Deconvolutional Single Shot Detector
DSSD : Deconvolutional Single Shot Detector
Cheng-Yang Fu
Wen Liu
A. Ranga
A. Tyagi
Alexander C. Berg
ObjD
64
1,909
0
23 Jan 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
124
15,535
0
25 Dec 2016
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
364
21,951
0
09 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
512
36,599
0
25 Aug 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
56
5,627
0
20 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
211
37,704
0
20 May 2016
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
101
2,411
0
12 Apr 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
77
5,008
0
22 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
901
192,638
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
106
29,646
0
08 Dec 2015
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
Amir Ghodrati
Ali Diba
M. Pedersoli
Tinne Tuytelaars
Luc Van Gool
ObjD
34
120
0
15 Oct 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
477
36,643
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
331
61,900
0
04 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
316
149,474
0
22 Dec 2014
Hypercolumns for Object Segmentation and Fine-grained Localization
Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
SSeg
71
1,594
0
21 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
202
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
561
99,991
0
04 Sep 2014
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