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

15 / 15 papers shown
Title
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
21
8
0
09 Jul 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
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
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
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
102
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
58
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
1,786
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
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