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RMOPP: Robust Multi-Objective Post-Processing for Effective Object
  Detection

RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection

9 February 2021
Mayuresh Savargaonkar
Abdallah A. Chehade
S. Rawashdeh
    ObjD
ArXivPDFHTML

Papers citing "RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection"

31 / 31 papers shown
Title
Corner Proposal Network for Anchor-free, Two-stage Object Detection
Corner Proposal Network for Anchor-free, Two-stage Object Detection
Kaiwen Duan
Lingxi Xie
H. Qi
S. Bai
Qingming Huang
Qi Tian
ObjD
52
101
0
27 Jul 2020
Building Robust Industrial Applicable Object Detection Models Using
  Transfer Learning and Single Pass Deep Learning Architectures
Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures
Steven Puttemans
T. Callemein
Toon Goedemé
ObjD
23
8
0
09 Jul 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
372
13,025
0
26 May 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
151
1,545
0
05 Dec 2019
Latent Function Decomposition for Forecasting Li-ion Battery Cells
  Capacity: A Multi-Output Convolved Gaussian Process Approach
Latent Function Decomposition for Forecasting Li-ion Battery Cells Capacity: A Multi-Output Convolved Gaussian Process Approach
Abdallah A. Chehade
A. Hussein
BDL
23
16
0
19 Jul 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
109
2,692
0
17 Apr 2019
Libra R-CNN: Towards Balanced Learning for Object Detection
Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang
Kai-xiang Chen
Jianping Shi
H. Feng
Wanli Ouyang
Dahua Lin
ObjD
75
1,292
0
04 Apr 2019
Bounding Box Regression with Uncertainty for Accurate Object Detection
Bounding Box Regression with Uncertainty for Accurate Object Detection
Yihui He
Chenchen Zhu
Jianren Wang
Marios Savvides
Xinming Zhang
ObjD
74
468
0
23 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
148
2,450
0
06 Sep 2018
CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
Jia Deng
ObjD
67
3,617
0
03 Aug 2018
MetaAnchor: Learning to Detect Objects with Customized Anchors
MetaAnchor: Learning to Detect Objects with Customized Anchors
Tong Yang
Xiangyu Zhang
Zeming Li
Wenqiang Zhang
Jian Sun
ObjD
78
136
0
03 Jul 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
109
21,432
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
94
5,748
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
136
4,924
0
03 Dec 2017
Relation Networks for Object Detection
Relation Networks for Object Detection
Han Hu
Jiayuan Gu
Zheng Zhang
Jifeng Dai
Yichen Wei
ObjD
104
1,222
0
30 Nov 2017
Improving Object Localization with Fitness NMS and Bounded IoU Loss
Improving Object Localization with Fitness NMS and Bounded IoU Loss
Lachlan Tychsen-Smith
L. Petersson
67
176
0
01 Nov 2017
Learning non-maximum suppression
Learning non-maximum suppression
J. Hosang
Rodrigo Benenson
Bernt Schiele
ObjD
54
521
0
08 May 2017
Soft-NMS -- Improving Object Detection With One Line of Code
Soft-NMS -- Improving Object Detection With One Line of Code
Navaneeth Bodla
Bharat Singh
Rama Chellappa
L. Davis
ObjD
83
1,788
0
14 Apr 2017
DSSD : Deconvolutional Single Shot Detector
DSSD : Deconvolutional Single Shot Detector
Cheng-Yang Fu
Wen Liu
A. Ranga
A. Tyagi
Alexander C. Berg
ObjD
142
1,914
0
23 Jan 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
179
15,610
0
25 Dec 2016
Beyond Skip Connections: Top-Down Modulation for Object Detection
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava
Rahul Sukthankar
Jitendra Malik
Abhinav Gupta
ObjD
85
321
0
20 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
453
22,095
0
09 Dec 2016
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH
3DV
88
2,572
0
30 Nov 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
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
222
29,808
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
682
36,923
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
495
62,243
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
299
25,045
0
30 Apr 2015
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
403
43,619
0
01 May 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
151
5,006
0
21 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
287
26,181
0
11 Nov 2013
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