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Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates
  and Implicit Duplication Modeling with IoU-Aware Calibration

Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration

6 September 2023
Johannes Gilg
Torben Teepe
Fabian Herzog
Philipp Wolters
Gerhard Rigoll
ArXivPDFHTML

Papers citing "Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration"

30 / 30 papers shown
Title
NMS Strikes Back
NMS Strikes Back
Jeffrey Ouyang-Zhang
Jang Hyun Cho
Xingyi Zhou
Philipp Krahenbuhl
62
38
0
12 Dec 2022
EVA: Exploring the Limits of Masked Visual Representation Learning at
  Scale
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
Yuxin Fang
Wen Wang
Binhui Xie
Quan-Sen Sun
Ledell Yu Wu
Xinggang Wang
Tiejun Huang
Xinlong Wang
Yue Cao
VLM
CLIP
166
706
0
14 Nov 2022
Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
Qiang Chen
Xiaokang Chen
Jian Wang
Shan Zhang
Kun Yao
Haocheng Feng
Junyu Han
Errui Ding
Gang Zeng
Jingdong Wang
ViT
77
128
0
26 Jul 2022
The Box Size Confidence Bias Harms Your Object Detector
The Box Size Confidence Bias Harms Your Object Detector
Johannes Gilg
Torben Teepe
Fabian Herzog
Gerhard Rigoll
ObjD
35
4
0
03 Dec 2021
YOLOX: Exceeding YOLO Series in 2021
YOLOX: Exceeding YOLO Series in 2021
Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
ObjD
114
4,065
0
18 Jul 2021
CBNet: A Composite Backbone Network Architecture for Object Detection
CBNet: A Composite Backbone Network Architecture for Object Detection
Tingting Liang
Xiao Chu
Yudong Liu
Yongtao Wang
Zhi Tang
Wei Chu
Jingdong Chen
Haibin Ling
ObjD
48
163
0
01 Jul 2021
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D
  Object Detection
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
Abhinav Kumar
Garrick Brazil
Xiaoming Liu
55
92
0
31 Mar 2021
From Black-box to White-box: Examining Confidence Calibration under
  different Conditions
From Black-box to White-box: Examining Confidence Calibration under different Conditions
Franziska Schwaiger
Maximilian Henne
Fabian Küppers
Felippe Schmoeller da Roza
Karsten Roscher
Anselm Haselhoff
54
10
0
08 Jan 2021
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Pei Sun
Rufeng Zhang
Yi Jiang
Tao Kong
Chenfeng Xu
...
Masayoshi Tomizuka
Lei Li
Zehuan Yuan
Changhu Wang
Ping Luo
ObjD
91
1,091
0
25 Nov 2020
VarifocalNet: An IoU-aware Dense Object Detector
VarifocalNet: An IoU-aware Dense Object Detector
Haoyang Zhang
Ying Wang
Feras Dayoub
Niko Sünderhauf
ObjD
68
682
0
31 Aug 2020
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Pengcheng Zhou
Chong Zhou
Pai Peng
Junlong Du
Xing Sun
Xiao-Wei Guo
Feiyue Huang
57
44
0
27 Jul 2020
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware
  Priors
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
Rohun Tripathi
Vasu Singla
Mahyar Najibi
Bharat Singh
Abhishek Sharma
L. Davis
34
2
0
19 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
345
12,966
0
26 May 2020
Multivariate Confidence Calibration for Object Detection
Multivariate Confidence Calibration for Object Detection
Fabian Küppers
Jan Kronenberger
Amirhossein Shantia
Anselm Haselhoff
UQCV
31
112
0
28 Apr 2020
Beyond temperature scaling: Obtaining well-calibrated multiclass
  probabilities with Dirichlet calibration
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull
Miquel Perelló Nieto
Markus Kängsepp
Telmo de Menezes e Silva Filho
Hao Song
Peter A. Flach
UQCV
63
380
0
28 Oct 2019
Objects as Points
Objects as Points
Xingyi Zhou
Dequan Wang
Philipp Krahenbuhl
3DPC
101
3,249
0
16 Apr 2019
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Songtao Liu
Di Huang
Yunhong Wang
43
284
0
07 Apr 2019
YOLACT: Real-time Instance Segmentation
YOLACT: Real-time Instance Segmentation
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
SSeg
VLM
ISeg
116
1,667
0
04 Apr 2019
Measuring Calibration in Deep Learning
Measuring Calibration in Deep Learning
Jeremy Nixon
Michael W. Dusenberry
Ghassen Jerfel
Timothy Nguyen
Jeremiah Zhe Liu
Linchuan Zhang
Dustin Tran
UQCV
69
488
0
02 Apr 2019
Acquisition of Localization Confidence for Accurate Object Detection
Acquisition of Localization Confidence for Accurate Object Detection
Borui Jiang
Ruixuan Luo
Jiayuan Mao
Tete Xiao
Yuning Jiang
ObjD
48
850
0
30 Jul 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
105
21,386
0
08 Apr 2018
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
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
237
5,812
0
14 Jun 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
75
1,785
0
14 Apr 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
196
5,320
0
17 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
437
22,040
0
09 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.8K
193,426
0
10 Dec 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
457
62,122
0
04 Jun 2015
Constructions for a bivariate beta distribution
Constructions for a bivariate beta distribution
I. Olkin
T. Trikalinos
46
58
0
23 Jun 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
365
43,524
0
01 May 2014
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